Computer und IT
KI-Kompass für Entscheider
So setzen Sie Künstliche Intelligenz gewinnbringend in Ihrem Unternehmen einEndlich ist die Künstliche Intelligenz reif für die Nutzung in industriellen Prozessen, Produkten und Diensten. Die Potenziale sind enorm, doch eine erfolgreiche Integration von KI-Anwendungen kann nur gelingen, wenn man das Thema zur Chefsache macht. Dieser Leitfaden wendet sich an Entscheidungsträger, die ihr Unternehmen fit für den Einsatz industrieller KI machen wollen.Folgende Themen erwarten Sie:- Kompakter Einstieg in die KI-Technik: Data Science, Machine Learning, Künstliche Neuronale Netze- Das Zusammenspiel von KI, Industrie 4.0 und IoT- KI in der Industrie: Einsatzszenarien in Produktentwicklung und Produktion sowie für produktbasierende Dienste, KI in der (Edge-)Cloud und auf dem Chip- Die Rolle der Industrieplattformen: B2B-Angebote für KI-Apps, Managed Services, Cloud Infrastructure as a Service- Fragen der Datensicherheit und EthikWertvolle Einblicke in die Strategien, Angebote und Use Cases führender Unternehmen und Forschungseinrichtungen auf dem Gebiet der industriellen KI, wie ABB, Dassault Systèmes, Siemens, it’s OWL und das Werkzeugmaschinenlabor der RWTH Aachen, runden den Inhalt ab.Systemvoraussetzungen für E-Book inside: Internet-Verbindung und Adobe-Reader oder Ebook-Reader bzw. Adobe Digital Editions Dipl.-Ing. (FH) Ulrich Sendler (www.ulrichsendler.de) ist Feinwerktechnik-Ingenieur, Werkzeugmacher und NC-Programmierer. Seit Ende der Achtzigerjahre ist er als freier Fachjournalist, Buchautor, Technologieanalyst, Redner und Moderator im Umfeld der virtuellen Produktentwicklung und Digitalisierung tätig. Er ist Gründer und Organisator des sendler\circle, einer Interessengemeinschaft der Anbieter von Software und Services für die Industrie, und betreibt ein Nachrichtenportal zu Digitalisierung, Industrie 4.0 und PLM (www.plmportal.org).
Letters to a New Developer
Learn what you need to succeed as a developer beyond the code. The lessons in this book will supercharge your career by sharing lessons and mistakes from real developers.Wouldn’t it be nice to learn from others’ career mistakes? “Soft” skills are crucial to success, but are haphazardly picked up on the job or, worse, never learned. Understanding these competencies and how to improve them will make you a more effective team member and a more attractive hire.This book will teach you the key skills you need, including how to ask questions, how and when to use common tools, and how to interact with other team members. Each will be presented in context and from multiple perspectives so you’ll be able to integrate them and apply them to your own career quickly.WHAT YOU'LL LEARN* Know when the best code is no code* Understand what to do in the first month of your job* See the surprising number of developers who can’t program* Avoid the pitfalls of working aloneWHO THIS BOOK IS FORAnyone who is curious about software development as a career choice. You have zero to five years of software development experience and want to learn non-technical skills that can help your career. It is also suitable for teachers and mentors who want to provide guidance to their students and/or mentees.DAN MOORE has over 20 years of experience as a developer. His roles have included employee, contractor, community member, engineering manager, and CTO. He currently leads developer advocacy at FusionAuth, a Denver company, building software to handle authentication, authorization, and user management for any app. In 2018, Dan started a blog exclusively focused on helping new developers “level up” and has published over 150 posts to help them improve their skills and avoid common mistakes. He resides in Boulder, CO. You can find him on Twitter at @mooreds.1. Your First Month2. Questions3. Writing4. Tools to Learn5. Practices6. Understanding the Business7. Learning8. Mistakes9. Your Career10. Community
Samsung Galaxy S20 For Dummies
GET THE MOST OUT OF THE POWERFUL NEW SAMSUNG GALAXY S20With its superfast refresh rate for seamless browsing and spectacularly enhanced camera—among many other goodies—there’s a lot to enjoy about your sleek new Samsung S20. Whether you’re a Samsung newbie or an upgrading customer, Samsung Galaxy S20 for Dummies is the perfect guide to the latest generation.From the basics, like setup and security, to the fun, like the supercool Single Take mode, this book has you covered from the moment you take your new smartphone out of its shiny new box. Want to watch movies? Navigate your way around with GPS? Say hello to family and friends on social media? All the easy-to-follow tips and tricks that make it fast and fun are pages away!* Configure and personalize your new phone* Get going with the best features, apps, and games* Shoot eye-popping photo and video with 30x zoom and nighttime mode* Sync with your other devicesWhatever you want to use it for gaming with friends, in-app conferencing or emailing for work, shooting home movies, sending witty Tweets—or even making phone calls—this friendly, no-nonsense how-to is the best guide to your galaxy. Enjoy!BILL HUGHES is a veteran marketing strategy executive who has led new product development initiatives and created marketing solutions for companies including Xerox, Microsoft, IBM, General Electric, Motorola, and US West Cellular. He has written for several wireless industry trade magazines as well as for USA Today and Forbes.INTRODUCTION 1About This Book 3Foolish Assumptions 3Icons Used in This Book 3Beyond the Book 4Where to Go from Here 4PART 1: GETTING STARTED WITH THE SAMSUNG GALAXY S20 7CHAPTER 1: EXPLORING WHAT YOU CAN DO WITH YOUR PHONE 9Discovering the Basics of Your Phone 9Taking Your Phone to the Next Level: The Smartphone Features 10Internet access 11Photos 11Wireless email 12Multimedia 13Customizing Your Phone with Games and Applications 13Downloading games 13Downloading applications 13What’s cool about the Android platform 14Surviving Unboxing Day 15CHAPTER 2: BEGINNING AT THE BEGINNING 19First Things First: Turning On Your Phone 19Charging Your Phone and Managing Battery Life 21Navigating the Galaxy S20 26The phone’s hardware buttons 26The touchscreen 28The extended Home screen 33The notification area and screen 38The Device Function keys 39The keyboard 40The orientation of the phone 41Going to Sleep Mode/Turning Off the Phone 42PART 2: COMMUNICATING WITH OTHER PEOPLE 45CHAPTER 3: CALLING PEOPLE 47Making Calls 47Answering Calls 51Keeping Track of Your Calls: The Recents 53Making an Emergency Call: The 411 on 911 55Syncing a Bluetooth Headset 56Options Other than Headsets 59CHAPTER 4: DISCOVERING THE JOY OF TEXT 61Sending the First Text Message 62Carrying on a Conversation via Texting 65Sending an Attachment with a Text 67Receiving Text Messages 69Managing Your Text History 69CHAPTER 5: SENDING AND RECEIVING EMAIL 71Setting Up Your Email 71Getting ready 72Setting up your existing Gmail account 73Setting up a new Gmail account 75Working with non-Gmail email accounts 76Setting up a corporate email account 82Reading Email on Your Phone 84Writing and Sending Email 85Replying to and Forwarding Email 87CHAPTER 6: MANAGING YOUR CONTACTS 89Using the Galaxy S20 Contacts App 90Learning the Contacts App on your phone 90Deciding where to store your contacts 92Linking Contacts on your phone 96Creating Contacts within Your Database 98Adding contacts as you dial 99Adding contacts manually 101How Contacts Make Life Easy 101Playing Favorites 103PART 3: LIVING ON THE INTERNET 105CHAPTER 7: YOU’VE GOT THE WHOLE (WEB) WORLD IN YOUR HANDS 107Starting the Browser 108Accessing Mobile (or Not) Websites 109Choosing Your Search Engine 111Deciding between Mobile Browsing and Mobile Apps 114CHAPTER 8: PLAYING IN GOOGLE’S PLAY STORE 117Exploring the Play Store: The Mall for Your Phone 118Getting to the Store 118Seeing What’s Available: Shopping for Android Apps 120Navigating the Google Play apps offerings 121Navigating the Google Play games offerings 124Installing and Managing an Android App 126Downloading the Facebook app 126Rating or Uninstalling Your Apps 131PART 4: HAVING FUN WITH YOUR PHONE 135CHAPTER 9: SHARING PICTURES 137Say Cheese! Taking a Picture with Your Phone 139Getting a Little Fancier with Your Camera 148Using the Photo mode settings 149Settings options on the viewfinder 150Photo Effects options 152Managing Your Photo Images 152Using Images on Your Phone 153Deleting Images on Your Phone 154CHAPTER 10: CREATING VIDEOS 155Ready Action! Taking a Video with Your Phone 156Taking Videography to the Next Level 159The Video mode settings 160Settings options on the viewfinder 161Messing with the AR Doodle option 163CHAPTER 11: PLAYING GAMES 165The Play Store Games Category 166The Games Home screen 167The Games Categories tab 168Leaving Feedback on Games 171CHAPTER 12: PLAYING MUSIC AND VIDEOS 175Getting Ready to Be Entertained 176Choosing your headset 176Wired headsets 177Choosing your Bluetooth speaker 179Connecting to your stereo 180Licensing Your Multimedia Files 181Listening up on licensing 182Licensing for videos 182Using the Full Capacity of Your SD Card 183Enjoying Basic Multimedia Capabilities 184Grooving with the Play Music app 185Playing downloaded music 189Jamming to Internet Radio 193Looking at your video options 196PART 5: GETTING DOWN TO BUSINESS 201CHAPTER 13: USING THE CALENDAR 203Syncing Calendars 203Setting Calendar Display Preferences 205Setting Other Display Options 208Creating an Event on the Right Calendar 210Creating, editing, and deleting an event 210Keeping events separate and private 213CHAPTER 14: MAPPING OUT WHERE YOU WANT TO BE 215GPS 101: First Things First 216Practically Speaking: Using Maps 217Changing map scale 218Finding nearby services 221Getting and Using Directions 223Upgrading Your Navigation 226CHAPTER 15: PAYING WITH SAMSUNG PAY 229How Mobile Payment Works 230Getting Started with Samsung Pay 232Setting Up Samsung Pay 234Using Samsung Pay 238Managing Samsung Pay 240PART 6: THE PART OF TENS 243CHAPTER 16: TEN WAYS TO MAKE YOUR PHONE TOTALLY YOURS 245Using a Bluetooth Speaker 246Cruising in the Car 247Considering Wireless Charging Mats 249Making a Statement with Wraps 250You Look Wonderful: Custom Screen Images 251Empowering Power Savings 253Controlling Your Home Electronics 254Wearing Wearables 254Using Your Phone as a PC 255Creating Your Own AR Emoji 256CHAPTER 17: TEN (OR SO) WAYS TO MAKE YOUR PHONE SECURE 259Using a Good Case 260Putting It on Lockdown 262Preparing for your Screen Lock option 265Selecting among the Screen Lock options 265Entering your face 267Entering your fingerprints 268Encrypting Your SD Card 269Using Knox to Make Your Phone as Secure as Fort Knox 271Being Careful with Bluetooth 272Protecting against Malware 273Downloading Apps Only from Reputable Sources 274Rescuing Your Phone When It Gets Lost 274Wiping Your Device Clean 276CHAPTER 18: TEN FEATURES TO LOOK FOR DOWN THE ROAD 277Always-on Personal “Dash-Cam” 277Home IoT Services to Differentiate Real Estate 278New Delivery Concepts 278Smarter Customer Care for Your Phone 279Smartphone as Entertainment Hub 280Driving in Your Car 280Serving You Better 281Placing You Indoors 282Better 911 Services 282Reducing Your Carbon Footprint 283Index 285
Datengetriebenes Marketing
Wir leben in einer Zeit, in der Daten immer mehr Relevanz besitzen, und zwar sowohl für die Geschäftsmodelle von Unternehmen im Gesamten als auch für einzelne Funktionsbereiche. Insbesondere im Marketing besitzen Daten eine hohe Relevanz, denn sie helfen, den Kunden zu verstehen und geeignete Maßnahmen abzuleiten. Doch viele Unternehmen tun sich schwer, einen Einstieg in das datengetriebene Marketing zu finden. Jonas Rashedi stellt mit diesem Buch einen Orientierungs- und Handlungsrahmen vor, der Unternehmen bei der Umsetzung und organisatorischen Verankerung eines datengetriebenen Marketings unterstützt. Der vorgestellte Prozess ist unabhängig von aktuell vorhandenen technologischen Lösungen gestaltet, sodass er für Unternehmen längerfristig Gültigkeit besitzt.
Basic Linux Terminal Tips and Tricks
Learn command line tricks, programs, and hacks you can use day to day as a Linux user, programmer, and system administrator. When you interact with the digital world, you can’t go far without interacting with Linux systems. This book shows you how to leverage its power to serve your needs.Many users know "top" is installed on almost all Linux machines, but did you know with a few keystrokes you can customize it specifically for your needs? Stuck using `cd` and `ls` commands for navigating file systems? This book looks at how you can use Ranger to quickly navigate through multiple levels of folders, and quickly run bash commands without ever leaving the terminal. We also suggest programs that can be used for common tasks such as finding which programs are using the most processing, data download/upload, and file space.You’ll know how to quickly connect to remote machines and run your commonly needed jobs in a keystroke or even on auto-pilot. With Basic Linux Terminal Tips and Tricks you'll be equipped with a wide range of tools that can be used for daily work and maintenance on all sorts of Linux systems including servers, desktops, and even embedded devices.WHAT YOU WILL LEARN* Work with common tools on your local network.* Techniques for efficient use of command line.* Easily manipulate text files for processing.* Monitor the state of a system with a handful of popular programs.* Combine programs to create useful processes.WHO THIS BOOK IS FORAnyone who is interested in Linux and Unix based operating systems as a hobby or for work.PHILIP KIRKBRIDE has been developing software for over 10 years. After college he worked as a contractor developing websites and mobile apps in Southern Ontario, Canada. He has since worked at several software and hardware startups, and contributed to open-source projects. He is currently maintaining applications for a handful of clients while completing his masters. When he is not working on tech, he enjoys spending time being outdoors. He can be reached at kirkins@gmail.com.1. Linux Primer2. File/Folder Navigation3. History and Shortcuts4. Scripts and Pipes5. Using SSH6. File Transfer7. Network Scanning8. System Monitoring9. Hardware Details and /dev10. Parsing Text11. systemd12. Vim13. Emacs14. Configure Bash15. Tmux Workflow16. Work with Images and Video17. Extras17. Cheat Sheets
Gut gepackt - Kein Bit zu viel
Bei der heutigen Datenflut, die auf Speichermedien und im Internet kursiert, ist die Kompression digitaler Daten nach wie vor ein immens wichtiger Aspekt bei Datenübertragung und -speicherung. Dieses essential erläutert ohne theoretischen Überbau und mit elementaren mathematischen und informatischen Methoden die wichtigsten Kompressionsverfahren, so unter anderem die Entropiecodierungen von Shannon-Fano und von Huffman, sowie die Wörterbuchcodierungen der Lempel-Ziv-Familie. Ausführlich eingegangen wird auch auf Irrelevanzreduktion und die Quantisierung bei optischen und akustischen Signalen, die die Unzulänglichkeiten des menschlichen Auges und Ohres zur Datenkompression ausnutzen. Illustriert wird das Ganze anhand gängiger Praxisanwendungen aus dem alltäglichen Umfeld. Die Aufbereitung erlaubt den Einsatz beispielsweise in Arbeitsgruppen an MINT-Schulen, bei Einführungskursen an Hochschulen und ist auch für interessierte Laien geeignet.
Datensicherheit
Anhand vieler Praxisbeispiele und Merksätze bietet das Buch einen leicht verständlichen Einstieg in die technische und organisatorische Datensicherheit. Es liefert einen Einblick in das für Datenschutzbeauftragte obligatorische technische Wissen. Datensicherheit ist ein untrennbarer Teil des Datenschutzes, der mehr und mehr in unserer Gesellschaft an Bedeutung gewinnt. Er kann nur dann wirksam umgesetzt werden, wenn ein Verständnis für technische Zusammenhänge und Gefährdungen gegeben ist. Dabei erstreckt sich die Datensicherheit auf weit mehr Informationen als nur auf Daten mit Personenbezug. Sie sichert sämtliche Daten und damit den Fortbestand von Unternehmen und Organisationen.DR. THOMAS H. LENHARD ist international anerkannter Experte für Informationstechnologie und Datenschutz. Er greift auf einen umfangreichen Erfahrungsschatz aus drei Jahrzehnten Datenschutz und Datensicherheit zurück.Datenschutz und Datensicherheit – Wie Computer miteinander kommunizieren – Was Datenbeständen zustoßen kann – Technische Bedrohungen – Gefährliche Software – Gefahren durch mobile Datenträger und Geräte – Telefonanlage als Gefahrenquelle – Zerstörung von Daten – Sicherung von Daten – Verschlüsselung – Sicherheit von Webseiten – Häufige Bedrohungen der IT-Sicherheit – Identifikation von Computern und IP-Adressen – Firewalls – Router – Konfiguration von Schutzsystemen – Die Demilitarisierte Zone – Organisatorischer Datenschutz
Big Data und Data Science in der strategischen Beschaffung
Big Data und Data Science sind Trends, die sowohl in der Wissenschaft als auch in Unternehmen auf großes Interesse stoßen. Dieses essential zeigt einen konzeptionellen Rahmen auf, um die Grundlagen von Big Data und Data Science besser zu verstehen. Einkaufsentscheider und Einkaufsorganisationen können dann aufbauend auf der Beschaffungsdigitalisierung sowie weiteren Datenquellen ein Big Data Warehouse konzipieren, welches die Voraussetzung schafft, um wichtige Beschaffungsprobleme zu lösen. Analytische Methoden werden genauso beleuchtet, wie neue Fähigkeiten in bereichsübergreifenden Teams. Abschließend werden 30 konkrete Anwendungsfälle von Big Data für die strategische Beschaffung vorgestellt.
Practical Hexo
Leverage the power of Hexo to quickly produce static blog sites that are efficient and fast. This project-oriented book simplifies the process of setting up Hexo and manipulating content, using little more than a text editor and free software. It will equip you with a starting toolset that you can use to develop future projects, incorporate into your existing workflow and allow you to take your websites to the next level.Hexo is based on JavaScript and Node.js, two of the biggest tools available for developers: you can enhance, extend, and configure Hexo as requirements dictate. With Hexo the art of possible is only limited by the extent of your imagination and the power of JavaScript and Node.js.Practical Hexo gets you quickly acquainted with creating and manipulating blogs using a static site generator approach. You will understand how to use the Hexo framework to rapidly create and deploy blogs that are performant, with the minimum of fuss, then extend and customize your content using plugins and themes. You will work through some practical projects to help solidify your skills, and put them into practice.WHAT YOU'LL LEARN* Implement the Hexo framework in a project* Customize and extend content* Consider maintenance requirements and how they compare to other blog systems* Apply skills to practical, real-world projects* Create themes and build plugins* Make changes using other tools and libraries.WHO THIS BOOK IS FORWebsite developers who are already familiar with JavaScript and keen to learn how to leverage the Hexo framework.Agile development team members, where time is of the essence to deliver results quickly.Developers who want to focus on simplicity, to produce efficient and properly optimized content in modern browsers using tools already in their possession.ALEX LIBBY is a front-end engineer and seasoned computer book author, who hails from England. His passion for all things Open Source dates back to the days of his degree studies, where he first came across web development, and has been hooked ever since. His daily work involves extensive use of JavaScript, HTML and CSS to manipulate existing website content; Alex enjoys tinkering with different open source libraries to see how they work. He has spent a stint maintaining the jQuery Tools library, and enjoys writing about Open Source technologies, principally for front end UI development. You can find him on LinkedIn: https://www.linkedin.com/in/alexlibby1/.1. Getting Started2. Manipulating Content and Media3. Creating Themes4. Developing Themes5. Working with the API6. Building Plugins7. Deployment and Publishing8. Improving our Workflow and Blog9. Localizing Content10. Creating an eCommerce Site11. Migrating to Hexo
Ontology-Based Information Retrieval for Healthcare Systems
With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data.This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas:* Semantic data integration in e-health care systems* Keyword-based medical information retrieval* Ontology-based query retrieval support for e-health implementation* Ontologies as a database management system technology for medical information retrieval* Information integration using contextual knowledge and ontology merging* Collaborative ontology-based information indexing and retrieval in health informatics* An ontology-based text mining framework for vulnerability assessment in health and social care* An ontology-based multi-agent system for matchmaking patient healthcare monitoring* A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems* A methodology for ontology based multi agent systems development* Ontology based systems for clinical systems: validity, ethics and regulationVISHAL JAIN is an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi, India. He has more than 350 research citation indices with Google Scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals indexed by Web of Science and Scopus, as well as authored and edited more than 10 books with various international publishers. His research areas include information retrieval, semantic web, ontology engineering, data mining, adhoc networks, and sensor networks. RITIKA WASON is currently working as an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. She completed her PhD degree in Computer Science from Sharda University. She has more than 10 years of teaching experience and has authored as well as edited several books in computer science and has been a recipient of many awards and honors. JYOTIR MOY CHATTERJEE is currently an assistant professor in the IT department at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal. He has completed M. Tech from Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha and B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Chennai. His research interests include the cloud computing, big data, privacy preservation, data mining, Internet of Things, machine learning. DAC-NHUONG LE, PhD is the Head-Deputy of Faculty of Information Technology, Haiphong University, Vietnam. He has a total academic teaching experience of 10 years with many publications in reputed international conferences, journals and online book chapter contributions. He researches interests span the optimization and algorithmic mathematics underpinnings of network communication, security and vulnerability, network performance analysis, and cloud computing. Preface xixAcknowledgment xxiii1 ROLE OF ONTOLOGY IN HEALTH CARE 1Sonia Singla1.1 Introduction 21.2 Ontology in Diabetes 31.2.1 Ontology Process 41.2.2 Impediments of the Present Investigation 51.3 Role of Ontology in Cardiovascular Diseases 61.4 Role of Ontology in Parkinson Diseases 81.4.1 The Spread of Disease With Age and Onset of Disease 101.4.2 Cost of PD for Health Care, Household 111.4.3 Treatment and Medicines 111.5 Role of Ontology in Depression 131.6 Conclusion 151.7 Future Scope 15References 152 A STUDY ON BASAL GANGLIA CIRCUIT AND ITS RELATION WITH MOVEMENT DISORDERS 19Dinesh Bhatia2.1 Introduction 192.2 Anatomy and Functioning of Basal Ganglia 212.2.1 The Striatum-Major Entrance to Basal Ganglia Circuitry 222.2.2 Direct and Indirect Striatofugal Projections 232.2.3 The STN: Another Entrance to Basal Ganglia Circuitry 252.3 Movement Disorders 262.3.1 Parkinson Disease 262.3.2 Dyskinetic Disorder 272.3.3 Dystonia 282.4 Effect of Basal Ganglia Dysfunctioning on Movement Disorders 292.5 Conclusion and Future Scope 31References 313 EXTRACTION OF SIGNIFICANT ASSOCIATION RULES USING PRE- AND POST-MINING TECHNIQUES—AN ANALYSIS 37M. Nandhini and S. N. Sivanandam3.1 Introduction 383.2 Background 393.2.1 Interestingness Measures 393.2.2 Pre-Mining Techniques 403.2.2.1 Candidate Set Reduction Schemes 403.2.2.2 Optimal Threshold Computation Schemes 413.2.2.3 Weight-Based Mining Schemes 423.2.3 Post-Mining Techniques 423.2.3.1 Rule Pruning Schemes 433.2.3.2 Schemes Using Knowledge Base 433.3 Methodology 443.3.1 Data Preprocessing 443.3.2 Pre-Mining 463.3.2.1 Pre-Mining Technique 1: Optimal Support and Confidence Threshold Value Computation Using PSO 463.3.2.2 Pre-Mining Technique 2: Attribute Weight Computation Using IG Measure 483.3.3 Association Rule Generation 503.3.3.1 ARM Preliminaries 503.3.3.2 WARM Preliminaries 523.3.4 Post-Mining 563.3.4.1 Filters 563.3.4.2 Operators 583.3.4.3 Rule Schemas 583.4 Experiments and Results 593.4.1 Parameter Settings for PSO-Based Pre-Mining Technique 603.4.2 Parameter Settings for PAW-Based Pre-Mining Technique 603.5 Conclusions 63References 654 ONTOLOGY IN MEDICINE AS A DATABASE MANAGEMENT SYSTEM 69Shobowale K. O.4.1 Introduction 704.1.1 Ontology Engineering and Development Methodology 724.2 Literature Review on Medical Data Processing 724.3 Information on Medical Ontology 754.3.1 Types of Medical Ontology 754.3.2 Knowledge Representation 764.3.3 Methodology of Developing Medical Ontology 764.3.4 Medical Ontology Standards 774.4 Ontologies as a Knowledge-Based System 784.4.1 Domain Ontology in Medicine 794.4.2 Brief Introduction of Some Medical Standards 814.4.2.1 Medical Subject Headings (MeSH) 814.4.2.2 Medical Dictionary for Regulatory Activities (MedDRA) 814.4.2.3 Medical Entities Dictionary (MED) 814.4.3 Reusing Medical Ontology 824.4.4 Ontology Evaluation 854.5 Conclusion 864.6 Future Scope 86References 875 USING IOT AND SEMANTIC WEB TECHNOLOGIES FOR HEALTHCARE AND MEDICAL SECTOR 91Nikita Malik and Sanjay Kumar Malik5.1 Introduction 925.1.1 Significance of Healthcare and Medical Sector and Its Digitization 925.1.2 e-Health and m-Health 925.1.3 Internet of Things and Its Use 945.1.4 Semantic Web and Its Technologies 965.2 Use of IoT in Healthcare and Medical Domain 985.2.1 Scope of IoT in Healthcare and Medical Sector 985.2.2 Benefits of IoT in Healthcare and Medical Systems 1005.2.3 IoT Healthcare Challenges and Open Issues 1005.3 Role of SWTs in Healthcare Services 1015.3.1 Scope and Benefits of Incorporating Semantics in Healthcare 1015.3.2 Ontologies and Datasets for Healthcare and Medical Domain 1035.3.3 Challenges in the Use of SWTs in Healthcare Sector 1045.4 Incorporating IoT and/or SWTs in Healthcare and Medical Sector 1065.4.1 Proposed Architecture or Framework or Model 1065.4.2 Access Mechanisms or Approaches 1085.4.3 Applications or Systems 1095.5 Healthcare Data Analytics Using Data Mining and Machine Learning 1105.6 Conclusion 1125.7 Future Work 113References 1136 AN ONTOLOGICAL MODEL, DESIGN, AND IMPLEMENTATION OF CSPF FOR HEALTHCARE 117Pooja Mohan6.1 Introduction 1176.2 Related Work 1196.3 Mathematical Representation of CSPF Model 1226.3.1 Basic Sets of CSPF Model 1236.3.2 Conditional Contextual Security and Privacy Constraints 1236.3.3 CSPF Model States CsetofStates 1246.3.4 Permission Cpermission 1246.3.5 Security Evaluation Function (SEFcontexts) 1246.3.6 Secure State 1256.3.7 CSPF Model Operations 1256.3.7.1 Administrative Operations 1256.3.7.2 Users’ Operations 1276.4 Ontological Model 1276.4.1 Development of Class Hierarchy 1276.4.1.1 Object Properties of Sensor Class 1296.4.1.2 Data Properties 1296.4.1.3 The Individuals 1296.5 The Design of Context-Aware Security and Privacy Model for Wireless Sensor Network 1296.6 Implementation 1336.7 Analysis and Results 1356.7.1 Inference Time/Latency/Query Response Time vs. No. of Policies 1356.7.2 Average Inference Time vs. Contexts 1366.8 Conclusion and Future Scope 137References 1387 ONTOLOGY-BASED QUERY RETRIEVAL SUPPORT FOR E-HEALTH IMPLEMENTATION 143Aatif Ahmad Khan and Sanjay Kumar Malik7.1 Introduction 1437.1.1 Health Care Record Management 1447.1.1.1 Electronic Health Record 1447.1.1.2 Electronic Medical Record 1457.1.1.3 Picture Archiving and Communication System 1457.1.1.4 Pharmacy Systems 1457.1.2 Information Retrieval 1457.1.3 Ontology 1467.2 Ontology-Based Query Retrieval Support 1467.3 E-Health 1507.3.1 Objectives and Scope 1507.3.2 Benefits of E-Health 1517.3.3 E-Health Implementation 1517.4 Ontology-Driven Information Retrieval for E-Health 1547.4.1 Ontology for E-Heath Implementation 1557.4.2 Frameworks for Information Retrieval Using Ontology for E-Health 1577.4.3 Applications of Ontology-Driven Information Retrieval in Health Care 1587.4.4 Benefits and Limitations 1607.5 Discussion 1607.6 Conclusion 164References 1648 ONTOLOGY-BASED CASE RETRIEVAL IN AN E-MENTAL HEALTH INTELLIGENT INFORMATION SYSTEM 167Georgia Kaoura, Konstantinos Kovas and Basilis Boutsinas8.1 Introduction 1678.2 Literature Survey 1708.3 Problem Identified 1738.4 Proposed Solution 1748.4.1 The PAVEFS Ontology 1748.4.2 Knowledge Base 1798.4.3 Reasoning 1808.4.4 User Interaction 1828.5 Pros and Cons of Solution 1838.5.1 Evaluation Methodology and Results 1838.5.2 Evaluation Methodology 1858.5.2.1 Evaluation Tools 1868.5.2.2 Results 1878.6 Conclusions 1898.7 Future Scope 190References 1909 ONTOLOGY ENGINEERING APPLICATIONS IN MEDICAL DOMAIN 193Mariam Gawich and Marco Alfonse9.1 Introduction 1939.2 Ontology Activities 1959.2.1 Ontology Learning 1959.2.2 Ontology Matching 1959.2.3 Ontology Merging (Unification) 1959.2.4 Ontology Validation 1969.2.5 Ontology Verification 1969.2.6 Ontology Alignment 1969.2.7 Ontology Annotation 1969.2.8 Ontology Evaluation 1969.2.9 Ontology Evolution 1969.3 Ontology Development Methodologies 1979.3.1 TOVE 1979.3.2 Methontology 1989.3.3 Brusa et al. Methodology 1989.3.4 UPON Methodology 1999.3.5 Uschold and King Methodology 2009.4 Ontology Languages 2039.4.1 RDF-RDF Schema 2039.4.2 OWL 2059.4.3 OWL 2 2059.5 Ontology Tools 2089.5.1 Apollo 2089.5.2 NeON 2099.5.3 Protégé 2109.6 Ontology Engineering Applications in Medical Domain 2129.6.1 Ontology-Based Decision Support System (DSS) 2139.6.1.1 OntoDiabetic 2139.6.1.2 Ontology-Based CDSS for Diabetes Diagnosis 2149.6.1.3 Ontology-Based Medical DSS within E-Care Telemonitoring Platform 2159.6.2 Medical Ontology in the Dynamic Healthcare Environment 2169.6.3 Knowledge Management Systems 2179.6.3.1 Ontology-Based System for Cancer Diseases 2179.6.3.2 Personalized Care System for Chronic Patients at Home 2189.7 Ontology Engineering Applications in Other Domains 2199.7.1 Ontology Engineering Applications in E-Commerce 2199.7.1.1 Automated Approach to Product Taxonomy Mapping in E-Commerce 2199.7.1.2 LexOnt Matching Approach 2219.7.2 Ontology Engineering Applications in Social Media Domain 2229.7.2.1 Emotive Ontology Approach 2229.7.2.2 Ontology-Based Approach for Social Media Analysis 2249.7.2.3 Methodological Framework for Semantic Comparison of Emotional Values 225References 22610 ONTOLOGIES ON BIOMEDICAL INFORMATICS 233Marco Alfonse and Mariam Gawich10.1 Introduction 23310.2 Defining Ontology 23410.3 Biomedical Ontologies and Ontology-Based Systems 23510.3.1 MetaMap 23510.3.2 GALEN 23610.3.3 NIH-CDE 23610.3.4 LOINC 23710.3.5 Current Procedural Terminology (CPT) 23810.3.6 Medline Plus Connect 23810.3.7 Gene Ontology 23910.3.8 UMLS 24010.3.9 SNOMED-CT 24010.3.10 OBO Foundry 24010.3.11 Textpresso 24010.3.12 National Cancer Institute Thesaurus 241References 24111 MACHINE LEARNING TECHNIQUES BEST FOR LARGE DATA PREDICTION: A CASE STUDY OF BREAST CANCER CATEGORICAL DATA: K-NEAREST NEIGHBORS 245Yagyanath Rimal11.1 Introduction 24611.2 R Programming 25011.3 Conclusion 255References 25512 NEED OF ONTOLOGY-BASED SYSTEMS IN HEALTHCARE SYSTEM 257Tshepiso Larona Mokgetse12.1 Introduction 25812.2 What is Ontology? 25912.3 Need for Ontology in Healthcare Systems 26012.3.1 Primary Healthcare 26212.3.1.1 Semantic Web System 26212.3.2 Emergency Services 26312.3.2.1 Service-Oriented Architecture 26312.3.2.2 IOT Ontology 26412.3.3 Public Healthcare 26512.3.3.1 IOT Data Model 26512.3.4 Chronic Disease Healthcare 26612.3.4.1 Clinical Reminder System 26612.3.4.2 Chronic Care Model 26712.3.5 Specialized Healthcare 26812.3.5.1 E-Health Record System 26812.3.5.2 Maternal and Child Health 26912.3.6 Cardiovascular System 27012.3.6.1 Distributed Healthcare System 27012.3.6.2 Records Management System 27012.3.7 Stroke Rehabilitation 27112.3.7.1 Patient Information System 27112.3.7.2 Toronto Virtual System 27112.4 Conclusion 272References 27213 EXPLORATION OF INFORMATION RETRIEVAL APPROACHES WITH FOCUS ON MEDICAL INFORMATION RETRIEVAL 275Mamata Rath and Jyotir Moy Chatterjee13.1 Introduction 27613.1.1 Machine Learning-Based Medical Information System 27813.1.2 Cognitive Information Retrieval 27813.2 Review of Literature 27913.3 Cognitive Methods of IR 28113.4 Cognitive and Interactive IR Systems 28613.5 Conclusion 288References 28914 ONTOLOGY AS A TOOL TO ENABLE HEALTH INTERNET OF THINGS VIABLE 5G COMMUNICATION NETWORKS 293Nidhi Sharma and R. K. Aggarwal14.1 Introduction 29314.2 From Concept Representations to Medical Ontologies 29514.2.1 Current Medical Research Trends 29614.2.2 Ontology as a Paradigm Shift in Health Informatics 29614.3 Primer Literature Review 29714.3.1 Remote Health Monitoring 29814.3.2 Collecting and Understanding Medical Data 29814.3.3 Patient Monitoring 29814.3.4 Tele-Health 29914.3.5 Advanced Human Services Records Frameworks 29914.3.6 Applied Autonomy and Healthcare Mechanization 30014.3.7 IoT Powers the Preventive Healthcare 30114.3.8 Hospital Statistics Control System (HSCS) 30114.3.9 End-to-End Accessibility and Moderateness 30114.3.10 Information Mixing and Assessment 30214.3.11 Following and Alerts 30214.3.12 Remote Remedial Assistance 30214.4 Establishments of Health IoT 30314.4.1 Technological Challenges 30414.4.2 Probable Solutions 30614.4.3 Bit-by-Bit Action Statements 30714.5 Incubation of IoT in Health Industry 30714.5.1 Hearables 30814.5.2 Ingestible Sensors 30814.5.3 Moodables 30814.5.4 PC Vision Innovation 30814.5.5 Social Insurance Outlining 30814.6 Concluding Remarks 309References 30915 TOOLS AND TECHNIQUES FOR STREAMING DATA: AN OVERVIEW 313K. Saranya, S. Chellammal and Pethuru Raj Chelliah15.1 Introduction 31415.2 Traditional Techniques 31515.2.1 Random Sampling 31515.2.2 Histograms 31615.2.3 Sliding Window 31615.2.4 Sketches 31715.2.4.1 Bloom Filters 31715.2.4.2 Count-Min Sketch 31715.3 Data Mining Techniques 31715.3.1 Clustering 31815.3.1.1 STREAM 31815.3.1.2 BRICH 31815.3.1.3 CLUSTREAM 31915.3.2 Classification 31915.3.2.1 Naïve Bayesian 31915.3.2.2 Hoeffding 32015.3.2.3 Very Fast Decision Tree 32015.3.2.4 Concept Adaptive Very Fast Decision Tree 32015.4 Big Data Platforms 32015.4.1 Apache Storm 32115.4.2 Apache Spark 32115.4.2.1 Apache Spark Core 32115.4.2.2 Spark SQL 32215.4.2.3 Machine Learning Library 32215.4.2.4 Streaming Data API 32215.4.2.5 GraphX 32315.4.3 Apache Flume 32315.4.4 Apache Kafka 32315.4.5 Apache Flink 32615.5 Conclusion 327References 32816 AN ONTOLOGY-BASED IR FOR HEALTH CARE 331J. P. Patra, Gurudatta Verma and Sumitra Samal16.1 Introduction 33116.2 General Definition of Information Retrieval Model 33316.3 Information Retrieval Model Based on Ontology 33416.4 Literature Survey 33616.5 Methodolgy for IR 339References 344
Role of Edge Analytics in Sustainable Smart City Development
Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.G. R. KANAGACHIDAMBARESAN received his PhD from Anna University Chennai in 2017. He is currently an associate professor in the Department of Computer Science Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India. His main research interests include Industry 4.0, smart city projects, Body Sensor Network and Fault Tolerant Wireless Sensor Network. He has published several articles in SCI journals and is an associate editor of Wireless Networks. Preface xv1 SMART HEALTH CARE DEVELOPMENT: CHALLENGES AND SOLUTIONS 1R. Sujatha, E.P. Ephzibah and S. Sree Dharinya1.1 Introduction 21.2 ICT Explosion 31.2.1 RFID 41.2.2 IoT and Big Data 51.2.3 Wearable Sensors—Head to Toe 71.2.4 Cloud Computing 81.3 Intelligent Healthcare 101.4 Home Healthcare 111.5 Data Analytics 111.6 Technologies—Data Cognitive 131.6.1 Machine Learning 131.6.2 Image Processing 141.6.3 Deep Learning 141.7 Adoption Technologies 151.8 Conclusion 15References 152 WORKING OF MOBILE INTELLIGENT AGENTS ON THE WEB—A SURVEY 21P.R. Joe Dhanith and B. Surendiran2.1 Introduction 212.2 Mobile Crawler 232.3 Comparative Study of the Mobile Crawlers 472.4 Conclusion 47References 473 POWER MANAGEMENT SCHEME FOR PHOTOVOLTAIC/BATTERY HYBRID SYSTEM IN SMART GRID 49T. Bharani Prakash and S. Nagakumararaj3.1 Power Management Scheme 503.2 Internal Power Flow Management 503.2.1 PI Controller 513.2.2 State of Charge 533.3 Voltage Source Control 543.3.1 Phase-Locked Loop 553.3.2 Space Vector Pulse Width Modulation 563.3.3 Park Transformation (abc to dq0) 573.4 Simulation Diagram and Results 583.4.1 Simulation Diagram 583.4.2 Simulation Results 63Conclusion 654 ANALYSIS: A NEURAL NETWORK EQUALIZER FOR CHANNEL EQUALIZATION BY PARTICLE SWARM OPTIMIZATION FOR VARIOUS CHANNEL MODELS 67M. Muthumari, D.C. Diana and C. Ambika Bhuvaneswari4.1 Introduction 684.2 Channel Equalization 724.2.1 Channel Models 734.2.1.1 Tapped Delay Line Model 744.2.1.2 Stanford University Interim (SUI) Channel Models 754.2.2 Artificial Neural Network 754.3 Functional Link Artificial Neural Network 764.4 Particle Swarm Optimization 764.5 Result and Discussion 774.5.1 Convergence Analysis 774.5.2 Comparison Between Different Parameters 794.5.3 Comparison Between Different Channel Models 804.6 Conclusion 81References 825 IMPLEMENTING HADOOP CONTAINER MIGRATIONS IN OPENNEBULA PRIVATE CLOUD ENVIRONMENT 85P. Kalyanaraman, K.R. Jothi, P. Balakrishnan, R.G. Navya, A. Shah and V. Pandey5.1 Introduction 865.1.1 Hadoop Architecture 865.1.2 Hadoop and Big Data 885.1.3 Hadoop and Virtualization 885.1.4 What is OpenNebula? 895.2 Literature Survey 905.2.1 Performance Analysis of Hadoop 905.2.2 Evaluating Map Reduce on Virtual Machines 915.2.3 Virtualizing Hadoop Containers 945.2.4 Optimization of Hadoop Cluster Using Cloud Platform 955.2.5 Heterogeneous Clusters in Cloud Computing 965.2.6 Performance Analysis and Optimization in Hadoop 975.2.7 Virtual Technologies 975.2.8 Scheduling 985.2.9 Scheduling of Hadoop VMs 985.3 Discussion 995.4 Conclusion 100References 1016 TRANSMISSION LINE INSPECTION USING UNMANNED AERIAL VEHICLE 105A. Mahaboob Subahani, M. Kathiresh and S. Sanjeev6.1 Introduction 1066.1.1 Unmanned Aerial Vehicle 1066.1.2 Quadcopter 1066.2 Literature Survey 1076.3 System Architecture 1086.4 ArduPilot 1096.5 Arduino Mega 1116.6 Brushless DC Motor 1116.7 Battery 1126.8 CMOS Camera 1136.9 Electronic Speed Control 1136.10 Power Module 1156.11 Display Shield 1166.12 Navigational LEDS 1166.13 Role of Sensors in the Proposed System 1186.13.1 Accelerometer and Gyroscope 1186.13.2 Magnetometer 1186.13.3 Barometric Pressure Sensor 1196.13.4 Global Positioning System 1196.14 Wireless Communication 1206.15 Radio Controller 1206.16 Telemetry Radio 1216.17 Camera Transmitter 1216.18 Results and Discussion 1216.19 Conclusion 124References 1257 SMART CITY INFRASTRUCTURE MANAGEMENT SYSTEM USING IOT 127S. Ramamoorthy, M. Kowsigan, P. Balasubramanie and P. John Paul7.1 Introduction 1287.2 Major Challenges in IoT-Based Technology 1297.2.1 Peer to Peer Communication Security 1297.2.2 Objective of Smart Infrastructure 1307.3 Internet of Things (IoT) 1317.3.1 Key Components of Components of IoT 1317.3.1.1 Network Gateway 1327.3.1.2 HTTP (HyperText Transfer Protocol) 1327.3.1.3 LoRaWan (Long Range Wide Area Network) 1337.3.1.4 Bluetooth 1337.3.1.5 ZigBee 1337.3.2 IoT Data Protocols 1337.3.2.1 Message Queue Telemetry Transport (MQTT) 1337.3.2.2 Constrained Application Protocol (CoAP) 1347.3.2.3 Advanced Message Queuing Protocol (AMQP) 1347.3.2.4 Data Analytics 1347.4 Machine Learning-Based Smart Decision-Making Process 1357.5 Cloud Computing 136References 1388 LIGHTWEIGHT CRYPTOGRAPHY ALGORITHMS FOR IOT RESOURCE-STARVING DEVICES 139S. Aruna, G. Usha, P. Madhavan and M.V. Ranjith Kumar8.1 Introduction 1398.1.1 Need of the Cryptography 1408.2 Challenges on Lightweight Cryptography 1418.3 Hashing Techniques on Lightweight Cryptography 1428.4 Applications on Lighweight Cryptography 1528.5 Conclusion 167References 1689 PRE-LEARNING-BASED SEMANTIC SEGMENTATION FOR LIDAR POINT CLOUD DATA USING SELF-ORGANIZED MAP 171K. Rajathi and P. Sarasu9.1 Introduction 1729.2 Related Work 1739.2.1 Semantic Segmentation for Images 1739.3 Semantic Segmentation for LiDAR Point Cloud 1739.4 Proposed Work 1759.4.1 Data Acquisition 1759.4.2 Our Approach 1759.4.3 Pre-Learning Processing 1799.5 Region of Interest (RoI) 1809.6 Registration of Point Cloud 1819.7 Semantic Segmentation 1819.8 Self-Organized Map (SOM) 1829.9 Experimental Result 1839.10 Conclusion 186References 18710 SMART LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING—A REVIEW 189K.R. Jothi, S. Anto, M. Kohar, M. Chadha and P. Madhavan10.1 Introduction 18910.2 Research Challenges 19210.2.1 Security & Routing 19210.2.2 Storage/Replication 19210.2.3 Spatial Spread of the Cloud Nodes 19210.2.4 Fault Tolerance 19310.2.5 Algorithm Complexity 19310.3 Literature Survey 19310.4 Survey Table 20110.5 Discussion & Comparison 20210.6 Conclusion 202References 21611 A LOW-COST WEARABLE REMOTE HEALTHCARE MONITORING SYSTEM 219Konguvel Elango and Kannan Muniandi11.1 Introduction 21911.1.1 Problem Statement 22011.1.2 Objective of the Study 22111.2 Related Works 22211.2.1 Remote Healthcare Monitoring Systems 22211.2.2 Pulse Rate Detection 22411.2.3 Temperate Measurement 22511.2.4 Fall Detection 22511.3 Methodology 22611.3.1 NodeMCU 22611.3.2 Pulse Rate Detection System 22711.3.3 Fall Detection System 23011.3.4 Temperature Detection System 23111.3.5 LCD Specification 23411.3.6 ADC Specification 23411.4 Results and Discussions 23611.4.1 System Implementation 23611.4.2 Fall Detection Results 23611.4.3 ThingSpeak 23611.5 Conclusion 23911.6 Future Scope 240References 24112 IOT-BASED SECURE SMART INFRASTRUCTURE DATA MANAGEMENT 243R. Poorvadevi, M. Kowsigan, P. Balasubramanie and J. Rajeshkumar12.1 Introduction 24412.1.1 List of Security Threats Related to the Smart IoT Network 24412.1.2 Major Application Areas of IoT 24412.1.3 IoT Threats and Security Issues 24512.1.4 Unpatched Vulnerabilities 24512.1.5 Weak Authentication 24512.1.6 Vulnerable API’s 24512.2 Types of Threats to Users 24512.3 Internet of Things Security Management 24612.3.1 Managing IoT Devices 24612.3.2 Role of External Devices in IoT Platform 24712.3.3 Threats to Other Computer Networks 24812.4 Significance of IoT Security 24912.4.1 Aspects of Workplace Security 24912.4.2 Important IoT Security Breaches and IoT Attacks 25012.5 IoT Security Tools and Legislation 25012.6 Protection of IoT Systems and Devices 25112.6.1 IoT Issues and Security Challenges 25112.6.2 Providing Secured Connections 25212.7 Five Ways to Secure IoT Devices 25312.8 Conclusion 255References 25513 A STUDY OF ADDICTION BEHAVIOR FOR SMART PSYCHOLOGICAL HEALTH CARE SYSTEM 257V. Sabapathi and K.P. Vijayakumar13.1 Introduction 25813.2 Basic Criteria of Addiction 25813.3 Influencing Factors of Addiction Behavior 25913.3.1 Peers Influence 25913.3.2 Environment Influence 26013.3.3 Media Influence 26213.3.4 Family Group and Society 26213.4 Types of Addiction and Their Effects 26213.4.1 Gaming Addiction 26313.4.2 Pornography Addiction 26413.4.3 Smart Phone Addiction 26513.4.4 Gambling Addiction 26713.4.5 Food Addiction 26713.4.6 Sexual Addiction 26813.4.7 Cigarette and Alcohol Addiction 26813.4.8 Status Expressive Addiction 26913.4.9 Workaholic Addiction 26913.5 Conclusion 269References 27014 A CUSTOM CLUSTER DESIGN WITH RASPBERRY PI FOR PARALLEL PROGRAMMING AND DEPLOYMENT OF PRIVATE CLOUD 273Sukesh, B., Venkatesh, K. and Srinivas, L.N.B.14.1 Introduction 27414.2 Cluster Design with Raspberry Pi 27614.2.1 Assembling Materials for Implementing Cluster 27614.2.1.1 Raspberry Pi4 27714.2.1.2 RPi 4 Model B Specifications 27714.2.2 Setting Up Cluster 27814.2.2.1 Installing Raspbian and Configuring Master Node 27914.2.2.2 Installing MPICH and MPI4PY 27914.2.2.3 Cloning the Slave Nodes 27914.3 Parallel Computing and MPI on Raspberry Pi Cluster 27914.4 Deployment of Private Cloud on Raspberry Pi Cluster 28114.4.1 NextCloud Software 28114.5 Implementation 28114.5.1 NextCloud on RPi Cluster 28114.5.2 Parallel Computing on RPi Cluster 28214.6 Results and Discussions 28614.7 Conclusion 287References 28715 ENERGY EFFICIENT LOAD BALANCING TECHNIQUE FOR DISTRIBUTED DATA TRANSMISSION USING EDGE COMPUTING 289Karthikeyan, K. and Madhavan, P.15.1 Introduction 29015.2 Energy Efficiency Offloading Data Transmission 29015.2.1 Web-Based Offloading 29115.3 Energy Harvesting 29115.3.1 LODCO Algorithm 29215.4 User-Level Online Offloading Framework (ULOOF) 29315.5 Frequency Scaling 29415.6 Computation Offloading and Resource Allocation 29515.7 Communication Technology 29615.8 Ultra-Dense Network 29715.9 Conclusion 299References 29916 BLOCKCHAIN-BASED SDR SIGNATURE SCHEME WITH TIME-STAMP 303Swathi Singh, Divya Satish and Sree Rathna Lakshmi16.1 Introduction 30316.2 Literature Study 30416.2.1 Signatures With Hashes 30416.2.2 Signature Scheme With Server Support 30516.2.3 Signatures Scheme Based on Interaction 30516.3 Methodology 30616.3.1 Preliminaries 30616.3.1.1 Hash Trees 30616.3.1.2 Chains of Hashes 30616.3.2 Interactive Hash-Based Signature Scheme 30716.3.3 Significant Properties of Hash-Based Signature Scheme 30916.3.4 Proposed SDR Scheme Structure 31016.3.4.1 One-Time Keys 31016.3.4.2 Server Behavior Authentication 31016.3.4.3 Pre-Authentication by Repository 31116.4 SDR Signature Scheme 31116.4.1 Pre-Requisites 31116.4.2 Key Generation Algorithm 31216.4.2.1 Server 31316.4.3 Sign Algorithm 31316.4.3.1 Signer 31316.4.3.2 Server 31316.4.3.3 Repository 31416.4.4 Verification Algorithm 31416.5 Supportive Theory 31516.5.1 Signing Algorithm Supported by Server 31516.5.2 Repository Deployment 31616.5.3 SDR Signature Scheme Setup 31616.5.4 Results and Observation 31616.6 Conclusion 317References 317Index 321
Beginning C
Learn how to program using C, beginning from first principles and progressing through step-by-step examples to become a competent, C-language programmer. All you need are this book and any of the widely available C compilers, and you'll soon be writing real C programs.You’ll discover that C is a foundation language that every programmer ought to know. Beginning C is written by renowned author Ivor Horton and expert programmer German Gonzalez-Morris. This book increases your programming expertise by guiding you through the development of fully working C applications that use what you've learned in a practical context. You’ll also be able to strike out on your own by trying the exercises included at the end of each chapter. At the end of the book you'll be confident in your skills with all facets of the widely-used and powerful C language.WHAT YOU WILL LEARN* Discover the C programming languageProgram using C starting with first steps, then making decisions * Use loops, arrays, strings, text, pointers, functions, I/O, and moreCode applications with strings and text * Structure your programs efficientlyWork with data, files, facilities, and moreWHO THIS BOOK IS FORThose new to C programming who may or may not have some prior programming experience.GERMAN GONZALEZ-MORRIS is a software architect/engineer working with C/C++, Java, and different application containers, in particular, with WebLogic Server. He has developed different applications including JEE/Spring/Python. His areas of expertise also include OOP, design patterns, Spring Core/MVC, and microservices.IVOR HORTON is self-employed in consultancy and writes programming tutorials. He worked for IBM for many years and holds a bachelor's degree, with honors, in mathematics. Horton's experience at IBM includes programming in most languages (such as assembler and high-level languages on a variety of machines), real-time programming, and designing and implementing real-time closed-loop industrial control systems. He has extensive experience teaching programming to engineers and scientists (Fortran, PL/1, APL, etc.). Horton is an expert in mechanical, process, and electronic CAD systems; mechanical CAM systems; and DNC/CNC systems.1. Programming in C2. First Steps in Programming3. Making Decisions4. Loops5. Arrays6. Applications with Strings and Text7. Pointers8. Structuring Your Programs9. More on Functions10. Essential Input and Output Operations11. Structuring Data12. Working with Files13. Supporting Facilities14. Advanced and Specialized TopicsA. Computer ArithmeticB. ASCII Character Code DefinitionsC. Reserved Words in CD. Input and Output Format SpecificationsE. Standard Library Headers
Krisen mit Social Media Intelligence bewältigen. Empfehlungen für den Einsatz sozialer Netzwerke im Katastrophenschutz
Der fortschreitende Klimawandel und dessen Auswirkungen werden dafür sorgen, dass die Zahl der Naturkatastrophen zunimmt. Daher ist es besonders für Menschen in Krisengebieten notwendig, sich durch umfassendes Katastrophen- und Krisenmanagement auf derartige Situationen vorzubereiten.Welche Informationssysteme zur Bevölkerungswarnung gibt es bereits? Welches Potenzial besitzen soziale Netzwerke in diesem Zusammenhang? Was verstehen wir unter Social Media Intelligence? inwieweit können sich freiwillige Helfer einbringen, um die Widerstandsfähigkeit in humanitären Notlagen zu steigern. Welche Herausforderungen können dabei auftreten?Der Autor untersucht den Mehrwert von Social Media bei der Krisenbewältigung. Er legt dar, wie Informationssysteme im Katastrophenschutz zum Einsatz kommen und geht insbesondere auf die Potenziale von sozialen Medien ein. Für die effektive Koordination von digitalen Freiwilligen und Vor-Ort-Helfern gibt er Handlungsempfehlungen.Aus dem Inhalt:- Digital Volunteers;- Vor-Ort-Helfer;- Facebook Disaster Maps;- Warn-Apps;- Big Data
VR Integrated Heritage Recreation
Create assets for history-based games. This book covers the fundamental principles required to understand and create architectural visualizations of historical locations using digital tools. You will explore aspects of 3D design visualization and VR integration using industry-preferred software.Some of the most popular video games in recent years have historical settings (Age of Empires, Call of Duty, etc.). Creating these games requires creating historically accurate game assets. You will use Blender to create VR-ready assets by modeling and unwrapping them. And you will use Substance Painter to texture the assets that you create.You will also learn how to use the Quixel Megascans library to acquire and implement physically accurate materials in the scenes. Finally, you will import the assets into Unreal Engine 4 and recreate a VR integrated heritage that can be explored in real time. Using VR technology and game engines, you can digitally recreate historical settings for games.WHAT YOU WILL LEARN* Create high-quality, optimized models suitable for any 3D game engine* Master the techniques of texturing assets using Substance Painter and Quixel Megascans* Keep assets historically accurate* Integrate assets with the game engine* Create visualizations with Unreal Engine 4WHO IS THIS BOOK FORGame developers with some experience who are eager to get into VR-based gamesDR. ABHISHEK KUMAR is Assistant Professor in the Department of Computer Science at the Institute of Science at Banaras Hindu University. He is an Apple Certified Associate, Adobe Education Trainer, and certified by Autodesk. He is actively involved in course development in animation and design engineering courses for various institutions and universities as they will be a future industry requirement.Dr. Kumar has published a number of research papers and covered a wide range of topics in various digital scientific areas (image analysis, visual identity, graphics, digital photography, motion graphics, 3D animation, visual effects, editing, composition). He holds two patents in the field of design and IoT.Dr. Kumar has completed professional studies related to animation, computer graphics, virtual reality, stereoscopy, filmmaking, visual effects, and photography from Norwich University of Arts, University of Edinburg, and Wizcraft MIME & FXPHD, Australia. He is passionate about the media and entertainment industry, and has directed two animation short films.Dr. Kumar has trained more than 50,000 students across the globe from 153 countries (top five: India, Germany, United States, Spain, Australia). His alumni have worked for national and international movies such as Ra-One, Krissh, Dhoom, Life of Pi, the Avengers series, the Iron Man series, GI Joe 3D, 300, Alvin and the Chipmunks, Prince of Persia, Titanic 3D, the Transformers series, Bahubali 1 & 2, London Has Fallen, Warcraft, Aquaman 3D, Alita, and more.CHAPTER 1: INTRODUCTION TO BOOKChapter Goal: In this chapter we will introduce the readers to the book and its concepts.Sub TopicsScope of this bookTopics coveredCHAPTER 2: INTRODUCTION TO SOFTWAREChapter Goal: In this chapter the readers will be introduced to the software applications that we will use throughout the book for creating our scene and everything related to it. Software that we will use are Blender, Substance Painter, Quixel Bridge and Unreal Engine 4.Sub TopicsBlenderSubstance PainterQuixel Bridge Unreal Engine 4CHAPTER 3: ACQUIRING RESOURCES FOR OUR PROJECTChapter Goal: In this chapter we will explore how we can acquire various resources that we will require for creating our project.Sub TopicsWebsites for getting texturesCollecting ReferencesCreating basic planCHAPTER 4: DESIGN VISUALIZATIONChapter Goal: We will learn the basic tools of the software which we are going to use for heritage recreation. After that we will create a white box level using Blender and UE4.Sub TopicsBasics of BlenderBasics of Substance PainterCreating White Box sceneCHAPTER 5: MODELLING OUR SCENEChapter Goal: In this chapter we will start modelling our scene. We will create optimized game ready models that can be used within any game engine.Sub TopicsModelling the TempleModelling the ground assets and stairsModelling additional assetsCHAPTER 6: UNWRAPPING THE MODELSChapter Goals: In this chapter we will create UV map for our models and explore in detail the UV editing tools provided by Blender.Sub TopicsUnwrapping the TempleUnwrapping the various ground assets and stairsUnwrapping the remaining smaller assetsCHAPTER 7: TEXTURING ASSETS USING SUBSTANCE PAINTERChapter Goal: We will now see how we can texture our assets using Substance Painter which is an industry standard tool for texturing.Sub TopicsA quick introduction Substance PainterTexturing our Larger structuresTexturing the smaller assetsCHAPTER 8: CREATING FOLIAGEChapter Goal: Here we will see how we can create game ready foliage like grasses, bushes and trees.Sub TopicsCreating grassCreating BushesCreating TreesCHAPTER 9: EXPORTING TO UNREAL ENGINE 4Chapter Goal: We will see in this chapter how to export assets to Unreal Engine 4.Sub TopicsBasics of Unreal Engine 4Creating lightmap UVsExporting models from BlenderExporting textures from Substance PainterCHAPTER 10: IMPORTING INTO UNREAL ENGINE 4Chapter Goal: In this chapter the readers will see how we can import assets into Unreal Engine 4 and set them up for use.Sub TopicsImport settingsExploring properties editorCHAPTER 11: MATERIAL SETUP IN UNREAL ENGINE 4Chapter Goal: Readers will now learn how to create materials with the imported textures that can then be applied to the meshes.Sub TopicsSimple material setupComplex material setupWorking with Master and Instanced materialsCHAPTER 12: INTEGRATION WITH VRChapter Goal: We will assemble the scene and write scripts for gameplay part of our scene. We will set up our scene to work with VR devices and bake everything into executable file.Sub TopicsCreating landscapeAssembling sceneCreating gameplay scriptsBuilding our scene into an executable
Deep Learning Projects Using TensorFlow 2
Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.WHAT YOU'LL LEARN* Grasp the basic process of neural networks through projects, such as creating music* Restore and colorize black and white images with deep learning processesWHO THIS BOOK IS FORBeginners new to TensorFlow and Python. VINITA SILAPARASETTY is a Data Scientist at Trendwise Analytics. Deep Learning is a topic she's passionate about, and she has experience working on deep learning projects and experimenting with neural networks. She aspires to share her love for deep learning with beginners and make it simple and easy to understand, so as to ignite a similar passion in them.Chapter 1— Perceptrons• Introduction to Perceptrons• Working of a Perceptron• Program to understand the working of a PerceptronChapter 2: Neural Networks• Introduction to Neural Networks• Types of Neural Networks• How each neural network works• Program to understand the working of Neural NetworksChapter 3: Project 1- DJ Neuron• About the Project: Creating Music Using Neural Networks• Requirements• Explanation of concepts used• Architecture of the Neural Network• Source code with line by line instructionsChapter 4: Project 2- Artistic Neurons• About the Project: Adding colour to black and white images• Requirements• Explanation of concepts used• Architecture of the Neural Network• Source code with line by line instructionsChapter 5: Project 3- Go HD• About the Project: Restoration of images for better quality• Requirements• Explanation of concepts used• Architecture of the Neural Network• Source code with line by line instructionsChapter 6: Project 4- Voice Experiments• About the Project: Voice Manipulation• Requirements• Explanation of concepts used• Architecture of the Neural Network• Source code with line by line instructionsChapter 7: Project 5- Imposters• About the Project: Fake Image Recognition• Requirements• Explanation of concepts used• Architecture of the Neural Network• Source code with line by line instructionsChapter 8: Project 6 - Gaming is Fun• About the Project: MI-agent training using Unity. Learn to create Artificially Intelligent Characters.* Requirements* Explanation of concepts used* Architecture of the Neural Network* Source code with line by line instructions
Hands-on Azure Pipelines
Build, package, and deploy software projects, developed with any language targeting any platform, using Azure pipelines.The book starts with an overview of CI/CD and the need for software delivery automation. It further delves into the basic concepts of Azure pipelines followed by a hands-on guide to setting up agents on all platforms enabling software development in any language. Moving forward, you will learn to set up a pipeline using the classic Visual Editor using PowerShell scripts, a REST API, building edit history, retention, and much more. You’ll work with artifact feeds to store deployment packages and consume them in a build. As part of the discussion you’ll see the implementation and usage of YAML (Yet Another Markup Language) build pipelines. You will then create Azure release pipelines in DevOps and develop extensions for Azure pipelines. Finally, you will learn various strategies and patterns for developing pipelines and go through some sample lessons on building and deploying pipelines.After reading Hands-on Azure Pipelines, you will be able to combine CI and CD to constantly and consistently test and build your code and ship it to any target.WHAT YOU WILL LEARN* Work with Azure build-and-release pipelines * Extend the capabilities and features of Azure pipelines* Understand build, package, and deployment strategies, and versioning and patterns with Azure pipelines* Create infrastructure and deployment that targets commonly used Azure platform services* Build and deploy mobile applications * Use quick-start Azure DevOps projectsWHO THIS BOOK IS FORSoftware developers and test automation engineers who are involved in the software delivery process.CHAMINDA CHANDRASEKARA is a Microsoft Most Valuable Professional (MVP) for Visual Studio ALM and Scrum Alliance Certified ScrumMaster®, and focuses on and believes in continuous improvement of the software development lifecycle. He works as a Senior Engineer - DevOps at Xameriners, Singapore. Chaminda is an active Microsoft Community Contributor (MCC) who is well recognized for his contributions in Microsoft forums, TechNet galleries, wikis, and Stack Overflow and he contributes extensions to Azure DevOps Server and Services (former VSTS/TFS) in the Microsoft Visual Studio Marketplace. He also contributes to other open source projects in GitHub. Chaminda has published five books with Apress.PUSHPA HERATH is a DevOps engineer at Xamariners. She has many years of experience in Azure DevOps Server and Services (formerly VSTS/TFS), Azure cloud platform and QA Automation. She is an expert in DevOps currently leading the DevOps community in Sri Lanka, and she has shown in depth knowledge in Azure cloud platform tools in her community activities. She has published three books with Apress and spoken in community evets as well as in the you tube channel of her Sri Lanka DevOps community.CHAPTER 1: UNDERSTANDING THE IMPORTANCE OF SOFTWARE DELIVERY AUTOMATIONCHAPTER GOAL: Give conceptual overview on CI CD while elaborating on the need of software delivery automation.NO OF PAGES: 10SUB -TOPICS1. Introducing Concepts (CI/CD)2. Why we need SW Delivery Automation?CHAPTER 2: OVERVIEW OF AZURE PIPELINESCHAPTER GOAL: Introduction to components in Azure Pipelines enabling you to follow the lessons from chapter 3.NO OF PAGES: 30Sub - Topics1. Introducing Pools and Agents (Explain purpose and usage (no need to go into setup details), +Security)2. Deployment Groups (Explain purpose and usage (no need to go into setup details), +Security)3. Build Pipelines (Explain purpose and usage (no need to go into setup details), +Security)4. Release Pipelines (Explain purpose and usage (no need to go into setup details), +Security)5. Task Groups (Explain purpose and usage (no need to go into setup details), +Security)6. Library (Variables) (Explain purpose and usage (no need to go into setup details), +Security)7. Parallel Pipelines and BillingCHAPTER 3: SETTING UP POOLS, DEPLOYMENT GROUPS AND AGENTSCHAPTER GOAL: Lessons to provide hand-on guidance on setting up agents on all platforms enabling building software developed with any language.NO OF PAGES : 40SUB - TOPICS:1. Setting up pools and permissions (scopes, Capabilities)2. Adding agents to pools (three pools Linux, mac and windows – add each type)3. Enable .NET core builds in Linux Agents4. Setting up Deployment Groups and permissions (scopes)5. Adding agent to Deployment groups (roles)CHAPTER 4: CREATING BUILD PIPELINES – CLASSIC – PART1CHAPTER GOAL: Step by step guidance to setting up a build pipeline using Classic Visual Editor.NO OF PAGES: 50SUB - TOPICS:1. Using Source Control Providers (show integration with each type and explain all options for each type such as tag sources and other options)2. Using a Template (Explain few commonly used templates)3. Using Multiple jobs – Adding Build jobs, Selecting Pools, setting up Demands, timeouts, mention parallelism, conditions are later lesson, Dependency settings with sample4. Using Tasks (Explain adding Tasks, find tasks in marketplace (install marketplace task in next lesson))5. Installing tasks from marketplace (Explain how to when you have rights, explain how to request to install task admin approve and install as well as decline)6. Build phase and Task Control Conditions – Explain using condition types, custom conditions in detail using a sample7. Parallelism - multi configuration and multi agents – show with samplesCHAPTER 5: CREATING BUILD PIPELINES – CLASSIC – PART2CHAPTER GOAL: Step by step guidance to setting up a build pipeline using Classic Visual Editor.NO OF PAGES: 40SUB - TOPICS:1. Using Variables – System, pipeline and group, scoping variables, queue time variable value change2. Setting up triggers and path filters for a build – show how it works CI, PR etc, path filters, scheduled builds3. Format Build number and apply custom formats with PowerShell4. Enable, paused and disabled builds -explain in detail with sample5. Link work items and Create work items on failures6. Using build status badge7. Build job scope, timeouts and demands8. Build edit history, compare and restore9. RetentionCHAPTER 6: CREATING BUILD PIPELINES – CLASSIC – PART 3CHAPTER GOAL: Step by step guidance to setting up a build pipeline using Classic Visual Editor.NO OF PAGES: 30SUB - TOPICS:1. Queuing builds and enable debugging mode for more diagnostic information2. Setting variable values in PowerShell scripts3. Accessing secret variable values in PowerShell4. Using OAuth tokens in builds (show example of REST API call , mention REST API details are later chapter)5. Creating and using task groups (include export and import as well)6. Using agentless phases – provide few usable task examples7. Publishing Artifacts – as server, as shared path (mention package as nuget later)8. Exporting and importing build definitionsCHAPTER 7: USING ARTIFACTSCHAPTER GOAL: Usage of artifact feeds to store deployment packages and usage of artifact feeds to keep packages related to development and consuming them in builds.NO OF PAGES: 40SUB - TOPICS:1. Creating and publishing build artifacts as nuget2. Using nuget packages from azure artifacts in VS, and in VS Code3. Using nuget packages in Azure Artifact feed in builds4. Creating and Consuming npm packages5. Creating and Consuming maven packages6. Creating and consuming gradle packages7. Creating and Consuming python packages8. Azure CLI to use feeds9. New Public feedsCHAPTER 8: CREATING AND USING YAML BUILD PIPELINESCHAPTER GOAL: Hands on lessons on implementing YAML based build pipelines giving all essential information on implementing configurations and pilines as code.No of pages: 40SUB - TOPICS:Will be defined laterCHAPTER 9: CREATING AZURE RELEASE PIPELINES – PART1Chapter Goal: Step by step guidance to setting up release pipelines with Azure DevOps.NO OF PAGES: 40SUB - TOPICS:1. Service Connections – Explain different types2. Using Templates to Create Pipelines (explain few common templates)3. Adding Artifacts for Release Pipeline (explain each artifact type)4. Setting up Artifact Triggers (continuous deployment triggers, artifact filters)5. Adding Stage (templated or empty, add vs clone, after release, manual triggers, after stage trigger (show parallel and different stage sequence setup options for pipelines), (partial succeeded) and artifact filters)6. Scheduled deployments for a stage (how it works samples)7. Pull request triggers in artifacts and Pull request deployment in stages8. Deployment queue settings (how it works sample should be shown)CHAPTER 10: CREATING AZURE RELEASE PIPELINES – PART2CHAPTER GOAL: Step by step guidance to setting up release pipelines with Azure DevOps.NO OF PAGES: 50SUB - TOPICS:1. Defining Gates (show examples for each gate type)2. Post deployment Options (approval and auto redeploy, gates just mention)3. Agent Job (Pools and specifications, demands samples, execution plan (multi config, multi agent as well) samples, timeouts, Artifact downloads, Oauth, Run job conditions)4. Deployment group job (Deployment group, how it works for required tags samples, targets to deploy multiple, one at a time samples, maximum parallel settings how it works samples, timeouts, artifacts, Oauth, run job conditions)5. Agentless Jobs – Explain usage of possible tasks – manual, delay, invoke azure function, quires, alerts, publishing to service bus – show samples for each6. Using variables – Scoping and using group variables as well7. Release Options – Release number, all integration options explain with sample for each8. History, compare, restore9. Export, import pipelinesCHAPTER 11: USING REST API AND DEVELOPING EXTENSIONS FOR AZURE PIPELINESCHAPTER GOAL: How to extend the capabilities and features of Azure Pipelines using the REST APIs and the extension development is discussed in this chapter.NO OF PAGES: 30SUB - TOPICS:1. Build and Release Management REST APIs - introduce get, post, put etc. with PS and typescript2. Developing extensions for Azure Pipelines – Develop a simple pipeline extension3. Deploying and distributing Azure Pipeline extensions – sharing privately and enable to use publiclyCHAPTER 12: USEFUL PIPELINE STRATEGIES AND PATTERNSCHAPTER GOAL: Guidance in pipeline development strategies and patterns with Azure build and release pipelines.NO OF PAGES: 25SUB - TOPICS:Will define later.CHAPTER 13: COMMONLY USED BUILD AND DEPLOYMENT PIPELINES – SAMPLES AND INTEGRATIONSCHAPTER GOAL: Few useful samples lessons on building and release commonly used applications to Azure platform.NO OF PAGES: 50SUB - TOPICS:1. Deploying infrastructure with Azure Pipelines – Creating Azure resources such as, resource groups, app service plans, storage accounts, web apps, function apps, APIM, Cosmos, SQL, ACR, AKS (provide open source code samples developed by us integrated with pipelines)2. Using Terraform with Azure Pipelines3. Deploying function apps and web apps – including configuration management options4. Deploying mobile apps5. Deploying Azure Databases – SQL, Cosmos6. Deploying Containerized Applications (web apps, AKS)7. Using SonarQube and Azure Build Pipelines for Code Analysis8. Integrating with Jenkins9. Integrating with Octopus deploy10. Generating quick start projects with Azure DevOps Projects (specially focus on java, python, node etc. and targeting Azure platforms)11. Generating release notes12. Visualizing Pipelines status with Dashboards in Azure DevOps
Microsoft Azure
Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud.Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. You’ll also take a look into Azure’s data, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much more.The final section of the book starts with Azure data services and big data with an in-depth discussion of Azure SQL Database, CosmosDB, Azure Data Lakes, and MySQL. You will further see how to migrate on-premises databases to Azure and use data engineering. Next, you will discover the various Azure services for application developers, including Azure DevOps and ASP.NET web apps. Finally, you will go through the machine learning and AI tools in Azure, including Azure Cognitive Services.WHAT YOU WILL LEARN* Apply design guidance and best practices using Microsoft Azure to achieve business growth* Create and manage virtual machinesWork with AI frameworks to process and analyze data to support business decisions and increase revenue * Deploy, publish, and monitor a web appWHO THIS BOOK IS FORAzure architects and business professionals looking for Azure deployment and implementation advice.JULIAN SOH is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.MARSHALL COPELAND is a security architect focused on kill chain defenses in public cloud deployments using cloud native and third-party cyber solutions. His work focuses on security in hybrid cloud deployments, secure DevOps, and security partner cloud integrations that enhance “blue team hunting” efficiencies.ANTHONY PUCA is a director of azure apps and infrastructure in Microsoft’s United States Federal Government division. Anthony has been consulting with US federal government departments and agencies on private, public, and hybrid cloud technologies for the last three years.MICHELEEN HARRIS is a technical program manager at Microsoft focusing on AI and machine learning. She has been a developer for over ten years and has a data science focus. She has designed and delivered many courses and given talks at large conferences such as Microsoft /build and ODSC West.PART I INTRODUCING MICROSOFT AZURECh 1. Microsoft Azure and Cloud ComputingOverview of Microsoft Azure servicesAzure conceptsAvailability ZonesSecurity, Compliance, and Privacy primerAzure licensing and cost management conceptsSubscriptionsCh 2. Overview of Azure Infrastructure-as-a-Service (IaaS) servicesAzure Virtual MachinesAzure NetworkingHybrid data center design concepts (private-public cloud)Hybrid data center operations and monitoringIaaS security considerationsCH 3. OVERVIEW OF AZURE PLATFORM-AS-A-SERVICEAzure Storage AccountsAzure WebAppsAzure Database ServicesAzure PaaS networking servicesAzure Machine Learning and Cognitive ServicesAzure Load BalancersAzure BatchCH 4. AZURE APPDEV SERVICES OVERVIEWAzure DevOps and GitHubAzure IaaS as codeVisual StudioContainers - AKS5. Ethical AI, Azure AI, and Machine LearningAzure for the modern Data EngineersAzure SQL DatabaseAzure SQL Managed InstanceAzure SQL Data WarehouseAzure Cosmos DBAzure Data Lake Service (gen 2)Azure Data Factory v2Cognitive ServicesArtificial Intelligence and Machine LearningPART II PLANNING AND ADOPTING AZURE6. BUDGETING AND CLOUD ECONOMICSUsing assessment tools - Microsoft MovereUnderstanding Cloud Economics - CapEx vs OpExForecasting and other cost saving featuresAutoscalingReserved InstancesService Level Agreement in LRS vs GRSAzure Cost Mgmt and Billing7. DESIGNING A HYBRID DATA CENTERNetworking considerationsPaaS ConsiderationsIdentity and Access ManagementSecurity and monitoring8.TOOLS, TRAINING, AND UPSKILLING EXISTING IT PERSONNELAvailable and required minimum trainingAssembling the toolkit for the Cloud engineerPowerShell ISEVisual Studio CodeAzure Storage ExplorerARM TemplatesHashicorp TerraformSource controlCommon MistakesPART III USING AZURE FOR INFRASTRUCTURE-AS-A-SERVICE (IAAS)9. IMPLEMENTING AZUR NETWORKINGDesigning and implementing Virtual Networks (vNets)Implementing Site-to-Site VPNImplementing ExpressRouteER DirectGlobal ReachImplementing Network Security GroupsImplementing Security and Monitoring for networksNetwork WatcherNetwork Perforamance MonitorAutoscaling10. VIRTUAL MACHINESCreating and managing Virtual MachinesOperating Systems (Windows, Linux)Gallery ImageCustomer ImageVM DisksMonitoring and health of VMSecuring VMAutomationTroubleshootingImproving VM availabilityAvailability GroupsDisaster RecoveryAzure Site Recovery (ASR)11. INFRASTRUCTURE-AS-CODEYour first Infrastructure-as-code exerciseDeploying VMs with codeDeploying virtual networks with codeAddressing dependenciesTroubleshooting your codeSource controlPART IV ADOPTING PLATFORM-AS-A-SERVICE (PAAS)12. AZURE WEBAPPSDeploying a WebAppPublishing to a WebAppMonitoring and securing WebAppsAzure Security Center for WebAppsIntegrating authentication for WebAppsLeveraging Azure Active DirectoryB2B and B2CMulti-factor authenticationTroubleshootingUse Case: Azure Drupal+MySQL PaaS13 NETWORK PAASWeb Application Firewall (WAF)Load BalancerAzure DNSAzure Traffic ManagerAzure Front Door ServiceAzure Private LinkContent Delivery Network (CDN)Azure DDoS ProtectionAzure FirewallUse Case: Implement Azure Front Door Service14 AZURE STORAGEAzure Blob StorageAzure QueuesAzure FilesUse Case: Using Azure Storage ExplorerPART V AZURE DATA SERVICES AND BIG DATA15. AZURE DATABASE SERVICESAzure SQL DatabaseAzure SQL DatabaseAzure SQL Database ServerlessAzure SQL Database Managed Instance (MI)Azure SQL Data WarehouseAzure CosmosDBAzure Database for MySQLAzure TablesAzure Data Lake Services (ADLS)Determining the right Data Services to use16 MIGRATING ON-PREMISES DATABASES TO AZUREDatabase Migration Assistant (DMA)Azure Database Migration Service17 DATA ENGINEERINGData Engineering and EstateExtract, transform, and loading data (ETL vs ELT)Data sharing with Azure Data ShareAzure Data FactoryPipelines, activities, and datasetsOrchestrating Data CopiesAzure Data Flow (Preview)Use Case: Copying, combining, and enriching dataPART VI AZURE SERVICES FOR APPLICATION DEVELOPERS18. DEVELOPING AZURE-BASED APPLICATIONSConsiderations for Cloud-first development practicesUse case: Build and publish an ASP.Net WebAppContainers and AKSUse case: Build a .Net Core WebApp in DockerMonitoring application health and performance in AzureDesigning IoT solutions19. AZURE DEVOPSIntroducing Azure DevOpsAzure ReposAzure PipelinesAzure BoardsAzure Test PlansAzure ArtifactsGitHubUse case: Development lifecycle demo using Azure Repo/GitHub, Pipelines, and CI/CDPART VII INTELLIGENT CLOUD - MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE20. AZURE COGNITIVE SERVICES (COGS)Introducing COGSQnAmaker.aiUse Case: ChatBots21. MACHINE LEARNING AND DEEP LEARNINGAzure Machine Learning overviewDatabricks/Spark overviewUse case: Azure Databricks for data scientistsData preparationML Modeling using Azure Auto MLBuild DNN for classificationParallel and distributed trainingIoT and Edge IoT devicesUse case: Real world examples
Beginning Rails 6
Springboard your journey into web application development and discover how much fun building web applications with Ruby on Rails can be. This book has been revised to cover what's new in Rails 6 including features such as WebPack, advanced JavaScript integration, Action Mailbox, Action Text, system and parallel testing, Action Cable testing, and more.Beginning Rails 6 gently guides you through designing your application, writing tests for the application, and then writing the code to make your application work as expected. It is a book that will guide you from never having programmed with Ruby, to having a Rails 6 application built and deployed to the web.After reading and using this book, you'll have the know-how and the freely available source code to get started with your own Rails-based web development in days.WHAT YOU WILL LEARN* Create Ruby on Rails 6 web applications from the bottom up* Gain the basics of the Ruby programming language* Combine all the components of Rails to develop your own web applications * Apply TDD to make sure your application works exactly as you expect * Use Git source control and best practice techniques to create applications like a pro WHO THIS BOOK IS FORSomeone with little to no Ruby or Rails experience, or possibly even someone with no experience developing web applications at all. A basic familiarity with the web and typical web terms is assumed, but you don’t need to be an expert in these.BRADY SOMERVILLE is a professional web developer and senior engineer at Eezy. In general, he has experience in applications development, web development, and even system administration. His programming background includes Ruby/Rails and Java. He has a degree in computer science as well.ADAM GAMBLE is a professional web developer and currently works as CTO for Eezy in Birmingham, AL. He has over 10 years' experience building web applications for everything from startups to multiple Fortune 500 companies. His passion for technology has enabled him to turn a hobby into a career that he loves.CLOVES CARNEIRO Jr is a software engineer who's been building software since 1997, especially web-based applications. He's also the original author of Beginning Rails and Beginning Ruby on Rails for Apress. His experience includes both Ruby and Java. He is currently working for LivingSocial in Florida.RIDA AL BARAZI is a passionate web developer experienced in building smart web applications for startups. He has been designing and building for the web since 2002. He started working with Rails in 2005 and has spoken at different web and Rails conferences around the world.1. Introducing the Rails Framework2. Getting Started3. Getting Something Running4. Introduction to the Ruby Language5. Working with a Database: Active Record6. Advanced Active Record: Enhancing Your Models7. Action Pack: Working with the View and the Controller8. Advanced Action Pack9. JavaScript and CSS10. Sending and Receiving Email11. Testing Your Application12. Internationalization13. Deploying Your Rails ApplicationsA. Databases 101B. The Rails CommunityC. GitNOTES below: for Planned Revisions for Beginning Rails 6Chapter 1: Introducing the Rails FrameworkThe majority of chapter 1 is still relevant, needing only minor, superficial changes. This may also be a good place to address the “is rails dead?” question. In short, no -- Rails is not dead, it’s mature.Chapter 2: Getting StartedThis chapter needs to be updated to include more recent installation instructions and screenshots for more recent versions of technologies involved. The general idea is the same, though.Chapter 3: Getting Something RunningThis chapter needs minor updates to:Reflect the new directory structure created by RailsReflect that Rails 6 now uses webpack instead of the asset pipelineChapter 4: Introduction to the Ruby LanguageThis chapter needs little, if any revision, as the basics of Ruby which it covers haven’t changed much.Chapter 5: Working with a Database: Active RecordThis chapter needs little, if any revision.Chapter 6: Advanced Active Record: Enhancing Your ModelsThis chapter seems like it would need only minor revisions. It is a dense chapter, though, with lots of code samples that need to be verified.Chapter 6.5: ActiveModelWe could add this chapter, showing readers how they can create objects very similar to ActiveRecord models described in the previous chapter, but which aren’t directly backed by the database.We would explain why this can be useful, and include an example of usage that fits in with the sample application being developed throughout the app.Chapter 7: Action Pack: Working with the View and the ControllerLike the previous chapter, this chapter is still mostly relevant, but has a lot of code samples and screenshots which need verification and updating.Also, the following sections have some changes in Rails 6 that should be updated:“Using Form Helpers” (`form_with` was added, and is the preferred way going forward.)“Rendering a Collection of Partials” ( Rails 6 has a newer, more performant way of rendering a collection of partials which should be described)Also, a section on Caching could be added, though it’s not new, and may not be appropriate for a “Beginning” book.Chapter 7.5: ActionTextIn this chapter, we would introduce ActionText, which gives the developer a simple path for adding a WYSIWYG editor to their application. This would be a short chapter, and we would show how to add a WYSIWYG editor to the sample application.Chapter 8: Advanced Action PackThis section only needs minor updates to verify code samples are still correct, and to update screenshots.Chapter 8.5: ActiveStorageActiveStorage facilitates the attaching of files to records. (e.g., product images, downloadable pdfs, etc.) We would explain why this is useful, how to configure it, and then provide code samples for how to enhance the sample application with images for each article, or something like that.)Chapter 9: JavaScript and CSSThis chapter needs significant revision. The structure of the chapter is good, but the underlying technologies have changed significantly, and all code samples need to be replaced. Thankfully this is a relatively short chapter.Chapter 10: Sending and Receiving E-MailThe existing content is mostly still relevant. Hower, the following changes should be made:We could add a section on “Previewing Emails” (https://edgeguides.rubyonrails.org/action_mailer_basics.html#previewing-emails), a new feature which aids development of emails sent by a Rails app.We could add a small section on “Action Mailer Callbacks”The section on “Receiving E-Mail” should be updated to reflect the new “ActionMailbox” featureChapter 10.5: ActiveJobIn this chapter, we would explain the concept of background jobs, explain why they’re useful, and then provide a working sample which ties into the sample application. (Namely, as a way of sending the email developed in the previous chapter.)Chapter 11: Testing Your ApplicationThis chapter will need some more significant updates, as Rails 6 has changed some concepts and introduced new ones:“Parallel testing” is new, and should be introduced -- it can dramatically increase the speed of running the test suite“Functional Testing Your Controllers” needs to be revised to reflect new technology“System Testing” could be added to introduce readers to the concept of browser-based testingSmall sections for testing ActiveJob and ActionMailer, and ActionCable could be addedChapter 12: InternationalizationThis chapter is still mostly relevant, and would only need small revisions. Additionally, we could introduce the concept of “lazy lookup”, allowing developers to rely on convention to make their usage of internationalization keys throughout their code more concise.Chapter 12.5: ActionCableWe could add a chapter to introduce this concept to the reader, explaining how it could be used to add “real-time” functionality to their application. (The easiest to understand example is a chat system, where you want to see messages from another user as soon as they are submitted without having to refresh the page.)We could add sample code to add something like a chat system to the application, though it seems like a stretch. I may try to think of a more relevant feature to add to the sample application.Chapter 13: Deploying Your Rails ApplicationsThis short chapter is still mostly relevant, but needs minor revisions to reflect newer technologies and software versions.Appendix A: DatabasesThis appendix needs little (or no) revision.Appendix B: The Rails CommunityThis appendix is mostly fine as-is; I would just want to make sure links are still valid, and that we’re not overlooking any new sources.Appendix C: GitThis appendix is still mostly relevant. I would just want to update links and references to version numbers, and make sure that example output and function listings are up-to-date.
Practical User Research
Explore how User Research has been influenced over the years by a range of disciplines, such as HCI, usability, anthropology, cognitive psychology, ergonomics etc. This book aims to contribute to the User Research community and covers topics that will help UX professionals, students and stakeholders to gain a better understanding of what User Research is.Throughout the book you will acquire a practical skill set, ranging from how to get the research going, to building a case in order to receive the budget and resources needed. It will provide you with a clear account of how to organise your research, how to plan it, and how to manage stakeholders’ expectations throughout the project. You’ll see how to fit User Research into your organization and incorporate it through the different product development phases (Discovery, Alpha, Beta until Live), as well as how to grow a User Research team.Practical User Research reviews the methodologies used for User Research, looks at how to recruit participants along with how to collect and analyse data, finally focusing on how to interpret and present your findings. Cross-cultural research, accessibility and assisted digital research will also be discussed throughout this book. The final chapter gives you 10 project briefs, with which you will be able to apply your new skill set and put into practice what you have learnt.WHAT YOU'LL LEARN* Integrate user research into your business* Apply user research to your product development cycle* Review the appropriate processes necessary to carry out user research* Take a pragmatic approach to user research, method by methodWHO THIS BOOK IS FORAnyone that wants to understand more about user research.DR. EMMANUELLE SAVARIT has a strong academic background and has worked closely with leaders in qualitative research methodology at UCLA. She has worked on a freelance basis with several companies in the Silicon Valley area, and has worked at the University of Technology of Compiègne (UTC) in France, one of the leading French engineering universities, as well as the Clinical Safety Research Unit at Imperial College, London. In 2010 Emmanuelle left academia and decided to focus exclusively on her consulting work and set up Analyse-Concept Ltd, which is specialised in user research. She offered her services in the private sector for companies such as Betfair, HSBC, Thompson Reuters, Graze, Odigeo, Adecco etc. as well as in the public sector for the Home Office, Department Work and Pension, Department for Education, etc. Emmanuelle is also frequently invited to talk at conferences around the world and organizes workshops to upskill and train people to become user researchers. You can find her on Twitter @eSavarit and find out more about her company on the website: www.analyse-concept.com.1. Introduction to User Research2. Understanding Product Development Phases3. Fitting User Research Into Your Organization4. Preparing for Your Research5. Research Preparation6. Research Methods: Analytics, survey and card sorting7. Collecting Qualitative Data8. Analyzing Qualitative Data and Interpreting the Findings9. Participant Recruitment, Ethics, and Accessibility10. Using Your New Skills in the Real WorldAppendix A: Screener Participant Recruitment Tablet TestingAppendix B: User Research Consent FormReferences
Attribution of Advanced Persistent Threats
An increasing number of countries develop capabilities for cyber-espionage and sabotage. The sheer number of reported network compromises suggests that some of these countries view cyber-means as integral and well-established elements of their strategical toolbox. At the same time the relevance of such attacks for society and politics is also increasing. Digital means were used to influence the US presidential election in 2016, repeatedly led to power outages in Ukraine, and caused economic losses of hundreds of millions of dollars with a malfunctioning ransomware. In all these cases the question who was behind the attacks is not only relevant from a legal perspective, but also has a political and social dimension.Attribution is the process of tracking and identifying the actors behind these cyber-attacks. Often it is considered an art, not a science.This book systematically analyses how hackers operate, which mistakes they make, and which traces they leave behind. Using examples from real cases the author explains the analytic methods used to ascertain the origin of Advanced Persistent Threats.DR. TIMO STEFFENS was involved in the analysis of many of the most spectacular cyber-espionage cases in Germany. He has been tracking the activities and techniques of sophisticated hacker groups for almost a decade.Advanced Persistent Threats.- The attribution process.-Analysis of malware.- Attack infrastructure.- Analysis of control servers.- Geopolitical analysis.- Telemetry - data from security products.- Methods of intelligence agencies.- Doxing.- False flags.- Group set-ups.- Communication.- Ethics of attribution.
Build Your Own Car Dashboard with a Raspberry Pi
Create your own car engine control unit (ECU) with a simple Raspberry PI while building the necessary skills to produce future more advanced projects. Once you've worked through the projects in this book, you'll have a smart car and the coding knowledge needed to develop advanced hardware and software projects.Start by understanding how the Pi works, and move on to how to build hardware projects, use the GPIO pins, and install the system. Then add to that a solid understanding of software development principles and best practices, along with a good grasp of Python (v3.6+) and Python/software best practices. More than just how to code in Python, you'll learn what it takes to write production grade software, defensive code, testing, deployments, version control, and more. Internalize industry best practices while going further with valuable software development techniques such as defensive programming.The concepts introduced are essential to ensuring that software can function under unexpected circumstances. Can you imagine what would happen if your mobile phone could not cope with a call from an unknown number, or you had to set you microwave in increments of 6 seconds? While testing avoids edge cases such as these, defensive programming is one of the building blocks of software development.WHAT YOU'LL LEARN* Hone test driven development in Python skills* Debug software and hardware project installations* Work with the GPIO ports of the Pi to feed your software real-world hardware informationWHO THIS BOOK IS FORPeople who like working on cars and want to learn Raspberry Pi and software development but don’t know where to start.JOSEPH COBURN is an experienced computer science teacher, writer, editor, and software developer. His work has been shared by Adobe, Lifehacker, and the Arduino foundation. His code is used by thousands of people daily. And he is well versed with designing, implementing, and troubleshooting complex software systems. The opportunity to share with and teach software development skills in Python and with the Raspberry Pi hits the sweet-spot of software and teaching.Chapter 1 - IntroductionChapter 2 - PrerequisitesMay need minor car knowledgeNo software or Raspberry Pi experience requiredChapter 3 - Software Development PrimerWhy these tools and processes exist, with examples of what happens when you don’t use them. Basic introduction, maybe a few minor sample projects or basic code samples.- Test driven development (TDD)- Testing- Debugging- Git- Deployments- Event driven programmingChapter 4 - Project OverviewHow each individual project combines to produce a larger project (car dashboard). Reasons why this doesn’t use a modern On-board diagnostics (OBD) port. How to use the individual projects outside the context of the car project.Chapter 5 - Raspberry Pi ConfigurationSSH, pulling of build artifacts, auto starting application in “kiosk” mode.Chapter 6 - Development Environment ConfigurationVersion control configuration, IDE tooling, deployment pipeline configuration. By this point in the book, the reader should have a rough skeleton application, know where the project is heading, have a development environment and Raspberry Pi configured, and can push code to a Git code repository and deploy to the Pi upon the successful passing of the unit tests.Chapter 7: The HeartbeatWhy this piece of code is essential to the whole project. How to write it, details about its use in every one of the following project chapters.Chapter 8 - Mini Projects–Door/Trunk Sensors–Fuel Sensor–Tire Pressure Sensors–Project: Speedometer–Project: Mileometer–Project: Engine + Ambient Temperature Sensors–Project: Parking Sensors–Project: Seat Belt Sensors–Project: Trip ComputerChapter 9 - InstallationCovers ventilation/cooling, enclosure manufacture, mounting of display, hardening to handle sudden loss of power, security considerations, emergency power, power circuit, and car installation.Chapter 10 - Wrapping UpFuture improvements, troubleshooting steps, alternative solutions. Advice on getting started as a software developer, and how to apply these skills learned to other software projects or any other challenges faced.
Implementing Cryptography Using Python
LEARN TO DEPLOY PROVEN CRYPTOGRAPHIC TOOLS IN YOUR APPLICATIONS AND SERVICESCryptography is, quite simply, what makes security and privacy in the digital world possible. Tech professionals, including programmers, IT admins, and security analysts, need to understand how cryptography works to protect users, data, and assets. Implementing Cryptography Using Python will teach you the essentials, so you can apply proven cryptographic tools to secure your applications and systems. Because this book uses Python, an easily accessible language that has become one of the standards for cryptography implementation, you’ll be able to quickly learn how to secure applications and data of all kinds.In this easy-to-read guide, well-known cybersecurity expert Shannon Bray walks you through creating secure communications in public channels using public-key cryptography. You’ll also explore methods of authenticating messages to ensure that they haven’t been tampered with in transit. Finally, you’ll learn how to use digital signatures to let others verify the messages sent through your services.* Learn how to implement proven cryptographic tools, using easy-to-understand examples written in Python* Discover the history of cryptography and understand its critical importance in today’s digital communication systems* Work through real-world examples to understand the pros and cons of various authentication methods* Protect your end-users and ensure that your applications and systems are using up-to-date cryptographySHANNON W. BRAY CASP, Security +, CISM is the Virtual CISO at Secured Systems providing clients guidance on establishing and maintaining information security plans, policies, procedures, standards, and guidelines using accepted frameworks. He has worked in this roles and others in corporations and federal agencies. Shannon has an MS in Cybersecurity from the University of Delaware. Prior to transitioning to cybersecurity, he was a well known IT expert with several successful books about Microsoft SharePoint. Introduction xviiCHAPTER 1 INTRODUCTION TO CRYPTOGRAPHY AND PYTHON 1Exploring Algorithms 2Why Use Python? 2Downloading and Installing Python 3Installing on Ubuntu 4Installing on macOS 4Installing on Windows 4Installing on a Chromebook 4Installing Additional Packages 5Installing Pip, NumPy, and Matplotlib 6Installing the Cryptography Package 7Installing Additional Packages 8Testing Your Install 9Diving into Python Basics 9Using Variables 10Using Strings 11Introducing Operators 11Understanding Arithmetic Operators 11Understanding Comparison Operators 13Understanding Logical Operators 13Understanding Assignment Operators 14Understanding Bitwise Operators 15Understanding Membership Operators 15Understanding Identity Operators 16Using Conditionals 16Using Loops 17for 17while 18continue 18break 18else 18Using Files 19Understanding Python Semantics 20Sequence Types 20Introducing Custom Functions 26Downloading Files Using Python 27Introducing Python Modules 28Creating a Reverse Cipher 29Summary 30CHAPTER 2 CRYPTOGRAPHIC PROTOCOLS AND PERFECT SECRECY 31The Study of Cryptology 32Understanding Cryptography 32Cryptography’s Famous Family: Alice and Bob 33Diffie-Hellman 34Data Origin Authentication 34Entity Authentication 35Symmetric Algorithms 36Asymmetric Algorithms 36The Needham-Schroeder Protocols 36The Otway-Rees Protocol 38Kerberos 39Multiple-Domain Kerberos 40X.509 41Formal Validation of Cryptographic Protocols 46Configuring Your First Cryptographic Library 47Understanding Cryptanalysis 47Brute-Force Attacks 47Side-Channel Attacks 48Social Engineering 48Analytical Attacks 48Frequency Analysis 48Attack Models 49Shannon’s Theorem 50One-Time Pad 51XOR, AND, and OR 51One-Time Pad Function 56One-Way Hashes 58Cryptographic One-Way Hashes 59Message Authentication Codes 60Perfect Forward Secrecy 60Published and Proprietary Encryption Algorithms 61Summary 62References 62CHAPTER 3 CLASSICAL CRYPTOGRAPHY 65Password Best Practices 66Password Storage 66Hashing Passwords 67Salting Passwords 67Stretching Passwords 68Password Tools 68Obfuscating Data 69ASCII Encoding 70Base64 Encoding Text 70Binary Data 72Decoding 72Historical Ciphers 72Scytale of Sparta 73Substitution Ciphers 73Caesar Cipher 74ROT-13 76Atbash Cipher 77Vigenère Cipher 77Playfair 79Hill 2x2 83Column Transposition 87Affine Cipher 90Summary 93CHAPTER 4 CRYPTOGRAPHIC MATH AND FREQUENCY ANALYSIS 95Modular Arithmetic and the Greatest Common Devisor 96Prime Numbers 97Prime Number Theorem 98School Primality Test 98Fermat’s Little Theorem 100Miller-Rabin Primality Test 100Generate Large Prime Numbers 104Basic Group Theory 106Orders of Elements 107Modular Inverses 109Fermat’s Little Theorem to Find the Inverse 110Extending the GCD 111Euler’s Theorem 111Pseudorandomness 115Breaking C’s rand() Function 116Solving Systems of Linear Equations 117Frequency Analysis 120Cryptanalysis with Python 123Using an Online Word List 125Determining the Frequency 126Breaking the Vigenère Cipher 129Summary 138CHAPTER 5 STREAM CIPHERS AND BLOCK CIPHERS 139Convert between Hexdigest and Plaintext 140Use Stream Ciphers 141ARC4 147Vernam Cipher 148Salsa20 Cipher 149ChaCha Cipher 151Use Block Ciphers 156Block Modes of Operations 158ECB Mode 158CBC Mode 159CFB Mode 160OFB Mode 162CTR Mode 163Tricks with Stream Modes 164DIY Block Cipher Using Feistel Networks 165Advanced Encryption Standard (AES) 167Using AES with Python 167File Encryption Using AES 169File Decryption Using AES 169Summary 169CHAPTER 6 USING CRYPTOGRAPHY WITH IMAGES 171Simple Image Cryptography 171Images and Cryptography Libraries 174Understanding the Cryptography Library 174Understanding the Cryptosteganography Library 175Image Cryptography 175File Cryptography Using Fernet 176Image Cryptography Using Fernet 179AES and Block Modes of Operations 180Exploring a Simple ECB Mode Example 181Exploring a Simple CBC Mode Example 185Applying the Examples 186Steganography 187Storing a Message Inside an Image 188Storing a Binary File Inside an Image 192Working with large images 195Summary 197CHAPTER 7 MESSAGE INTEGRITY 199Message Authentication Codes 200Hash-based Message Authentication Code 201Using HMAC to Sign Message 202Message Digest with SHA 203Binary Digests 204NIST Compliance 205CBC-MAC 206Birthday Attacks 207Crafting Forgeries 209The Length Extension Attack 209Setting Up a Secure Channel 210Communication Channels 211Sending Secure Messages over IP Networks 212Create a Server Socket 212Create a Client Socket 213Create a Threaded Server with TCP 214Adding Symmetric Encryption 215Concatenate Message and MAC 218Summary 221References 222CHAPTER 8 CRYPTOGRAPHIC APPLICATIONS AND PKI 223The Public-Key Transformation 224Exploring the Basics of RSA 226Generating RSA Certificates 229Constructing Simple Text Encryption and Decryption with RSA Certificates 231Constructing BLOB Encryption andDecryption with RSA Certificates 232The El-Gamal Cryptosystem 235Elliptic Curve Cryptography 238Generating ECC Keys 240Key Lengths and Curves 241Diffie-Hellman Key Exchange 242Summary 245CHAPTER 9 MASTERING CRYPTOGRAPHY USING PYTHON 247Constructing a Plaintext Communications Application 248Creating a Server 248Creating the Client 250Creating the Helper File 251Execution 252Installing and Testing Wireshark 253Implementing PKI in the Application Using RSA Certificates 255Modifying the Server 256Modifying the Client 257Modifying the Helper File 258Execution 259Implementing Diffie-Hellman Key Exchange 261Modifying the Server File 262Modifying the Client File 264Modifying the Helper File 266Creating the Diffie-Hellman Class File 270Execution 275Wrapping Up 276Index 277
Beginning Data Science, IoT, and AI on Single Board Computers
Learn to use technology to undertake data science and to leverage the Internet of Things (IoT) in your experimentation. Designed to take you on a fascinating journey, this book introduces the core concepts of modern data science. You'll start with simple applications that you can undertake on a BBC micro:bit and move to more complex experiments with additional hardware. The skills and narrative are as generic as possible and can be implemented with a range of hardware options.One of the most exciting and fastest growing topics in education is data science. Understanding how data works, and how to work with data, is a key life skill in the 21st century. In a world driven by information it is essential that students are equipped with the tools they need to make sense of it all. For instance, consider how data science was the key factor that identified the dangers of climate change -- and continues to help us identify and react to the threats it presents. This book explores the power of data and how you can apply it using hardware you have at hand.You'll learn the core concepts of data science, how to apply them in the real world and how to utilize the vast potential of IoT. By the end, you'll be able to execute sophisticated and meaningful data science experiments - why not become a citizen scientist and make a real contribution to the fight against climate change.There is something of a digital revolution going these days, especially in the classroom. With increasing access to microprocessors, classrooms are are incorporating them more and more into lessons. Close to 5 million BBC micro:bits will be in the hands of young learners by the end of the year and millions of other devices are also being used by educators to teach a range of topics and subjects. This presents an opportunity: microprocessors such as micro:bit provide the perfect tool to use to build 21st century data science skills. Beginning Data Science and IoT on the BBC micro:bit provides you with a solid foundation in applied data science.What You'll Learn· Use sensors with a microprocessor to gather or "create" data· Extract, tabulate, and utilize data it from the microprocessor· Connect a microprocessor to an IoT platform to share and then use the data we collect· Analyze and convert data into informationWho This Book Is ForEducators, citizen scientists, and tinkerers interested in an introduction to the concepts of IoT and data on a broad scale.PRADEEKA SENEVIRATNE, a graduate from the Sri Lanka Institute of Information Technology (SLIIT), has almost two decades of experience working on large and complex IT projects related to the industrial world in a variety of fields, in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Pradeeka has also authored several books related to the maker category including Beginning BBC micro:bit (Apress), Beginning LoRa Radio Networks with Arduino (Apress) and Building Arduino PLCs (Apress).PHILIP MEITINER has a background in applied mathematics, psychology, market research, and ed-tech. Philip was was on the original founding members of the Micro:bit Education Foundation where he helped establish the Foundation and is responsible for creating and nurturing the ecosystem, building the reseller and peripheral network and managing the sponsorship scheme (which saw more than 30,000 micro:bits donated to disadvantaged schools in 55 counties). Philip continues to work in the ed-tech sector as a consultant providing services to companies involved with micro:bit. This eclectic mix of careers and experience has instilled in Philip a deep understanding of what it is like to embark on a new learning journey. In addition, his experiences in teaching, market research and IT have given him the perfect mix of skills and knowledge necessary to craft this book.Chapter 1: Introduction to Data Science in the ClassroomChapter Goal: After reading this chapter, readers will understand the importance of measurement - they will able to measure air temperature using a thermometer and they will understand how it works. We will introduce a number of core data science concepts and how to apply them to build an experiment. We’ll cover some basic how-to skills for gathering and tabulating data, and we will undertake some analysis on our results. The reader will get an overview of a complete and meaningful example of applied data science, and they will be ready to explore more deeply.* Data is everywhere: Why do we measure things and what does ‘measuring things’ even mean? How is this related to data science?* Using Temperature: How is temperature used in the world? * Measuring temperature: What does a thermometer do and how does it work?* Designing an experiment: We will begin to design an experiment using our thermometers to measure the temperature at different locations. We will look at factors that might have a negative impact on our experiment and we’ll look at controlling them. We we will see the importance of validity and reliability.* Data capturing: Before our experiment commences, we will introduce the reader to the concept of data capturing - recording (tabulating) data.* Experimenting with temperature: Here we will outline the classroom activity (experiment) to collect and analyse data. We will introduce the concept of experimental design and see how it can help address issues of reliability and validity.* Analysing our results: We will introduce the concept of ‘interrogating’ the data by listing a series of questions that the data set might provide insights into. In a later chapter we will look at more sophisticated analysis, for now we show how to extract some meaning / insights from the data we just collected. * Summary: Brings together all the new concepts introduced in this chapter and sets the stage for the next chapter.Chapter 2: Data Science Goes DigitalChapter Goal: After reading this chapter, readers will understand why there is a tendency to ‘go digital’ and what it means to read data digitally. We will introduce technology and coding to replicate our experiment and we will begin to explore ways that the digital approach can expand our capabilities and potential as data scientists. We’ll use a BBC micro:bit (or any similar device) to measure temperature, all the while looking at our experimental design and how to improve it. By the end of the chapter we will have identified the sort of hardware we need in our data science toolkit.* Making it digital: Why is everything digital? What are the types of thermometers? Explain about digital thermometers and show how they are different to analogue. How can introducing digital improve our temperature experiment from Chapter 1* Using a microprocessor to measure temperature digitally: We will use micro:bit - brief intro to microbit, including sensors that can be used for measure things causing GW (only the ambient temperature sensor).* Using the BBC micro:bit as a thermometer: Programming the micro:bit for reading the air temperature of the classroom. Use MakeCode (or MicroPython) for programming. * Analogue and digital thermometers: Reading temperature simultaneously from a micro:bit and a thermometer. Discuss differences between methods. In particular the difficulties of manual reading, need to read two things same time (thermometer or micro:bit and the clock) * Limitations of micro:bit as a standalone tool: We’ve seen some limitations with microbit. By itself it provides us with too few tools. What are -ons and how are add-ons used with microprocessors, and what about micro:bit? Discuss variety of options available to educators. * Identifying the digital tools we need for data science: We have identified weaknesses in micro:bit. We also review what we need to be accomplished data scientists.* Selecting our tool kit: Introduce the configuration (microbit + XinaBox) that we will use for main thread of examples. Explain why. Offer tips to adapt for other platforms throughout.* Chapter summaryChapter 3: Building a Weather StationChapter Goal: After this chapter the reader will be able to build a digital weather station in the backyard, or classroom! We’ll show the reader how to build one using a micro:bit and the XinaBox SW01 &, BM01 and we’ll explain how other kit could be used. The reader will record temperature, humidity, and pressure by programming the micro:bit to display the sensor readings on the led screen. The reader will be reminded of the limitations of the micro:bit LED screen and an alternative screen to display all the sensor data will be introduced. We’ll show the reader how to connect the OD01 OLED display to show the output, and we’ll explain other options. The reader finishes the chapter with a working weather station, and the realisation that writing values down all the time is a real limiting factor.What we need for the circuit - brain, power, weather sensor and visual display unit. We show what we are using - micro:bit, xChip SW01, BM01 & xBUS connectors and show how to connect. We make it clear other components can be used - show some examples (e.g. Adafruit, Monk Makes, RPi).* Programming the micro:bit (MakeCode Weatherbit package/MicroPython) to read sensor values (temperature, humidity, and pressure) and display them on the LED screen.* Test the program - the display is just not adequate. We need to introduce a more suitable display. So, we add the OD01 OLED display and program it. NB - readers do not need the OLED at all - they can continue to chapter with the 5x5.* Now we measure the weather over a period of time. Classes may have some with OLED and some with 5x5. Write down the sensor data in a table by looking at the display (OLED or 5x5). Making a few copies of the data capturing sheet (we will provide the format of the sheet). Distributing them among some students in different locations and ask them to write down the sensor values at the same time (maybe every 1 minute at 10 minute intervals). The exercise is likely to be flawed in many ways - recording error will occur. Discuss causes of errors by recording the sensor values manually, with either display. * Data Analysis. We introduce charts and talk about time - how each set of points is implicitly time-stamped. Talk about correlations. Nothing too heavy yet - no statistical significance. We are encouraging the curious mind to ask questions, like in earlier chapters.* Discuss how alternate data could be substituted in. Talk about sensors in general, how other sensors could be used in place of weather. Weather station code here can be adapted for all sorts of uses. We introduce a few examples we’ll use in our GW experiments later.* Discussing the limits of the experiment - use the example of taking readings over a 24 hour period. How can that be accomplished with our circuit? How do we take the human out of the equation?Chapter 4: Storing and retrieving dataChapter Goal: In this chapter We will build further on our experiment and enhance our data science tool set introducing the use of computer memory for data capturing - the reader will be able store and retrieve data digitally for further analysis. The reader will be able to use the micro:bit's tiny persistent file system to store the data captured by the weather station then move that data onto their laptop and perform analysis. The reader will understand the limitations of the micro:bit storage by running an overnight test and counting the data points.Introduction to file storage on the micro:bit storage: We recap on why we want to save files and provide a non-technical overview of persistent memory on the micro:bit!* Save Hello World to file: Briefly demonstrate the most simple code to write to and save a file. Include a brief and simple overview of how to extract the file after. * Working with files: Explain key elements of the process - storing data (writing) on the micro:bit file system - creating, writing, closing files. Ensure every line of code in (2) is explained.* Incorporating files into our experimental design: What impact does access to computer memory have on our experimental design? How do we amend the design to accommodate our new capabilities.* Measuring memory size: how many data points we can record until the memory gets full? What is the maximum file size? Write some code to test this quickly. How many readings can we take in a 24 hour period?* Replicating the weather station experiment with file storage: Now we set up an overnight experiment with the weather station to record data at the interval we have calculated. We will analyse the data in detail, in the next chapter.* Addressing memory limitations: micro:bit provides us with some file storage, but not much. We introduce options to address that - ways to expand the available memory. We offer suggestions for why this would be useful* SummaryChapter 5: The basics of analysing the dataChapter Goal: The reader now has the capacity to generate files containing data tables. In previous chapters we have undertaken analysis using our eyes and logic; here we look at developing some basic skills using common software (Excel, libra, GSheet). The reader will be able to import their table into a multi column spreadsheet and ensure it is formatted OK. We will find values such as max and min, as well as averages (mean, median, mode). We will discuss trends, data significance and we’ll look more formally at the concept of confidence. By the end of this chapter we will have provided the reader with all the analysis tools we will use in this book - later chapters will look at how to apply these.* The workflow of data science: We review the process we have been learning about - gathering, Importing, analysing. Summarise what we know so far and introduce the goal of this chapter. * The workflow of analysis: Break down the analysis process into constituents. Show the steps needed to undertake analysis and describe the tools we use at each step.* Data rigour: Checking the data and ensuring it is formatted OK. Encourage data discipline - spot checks, logic checks. We remind readers that the human eye remains the most powerful too.* Using spreadsheets: Introduce aggregation measures, explain them and show how to find them using a spreadsheet- * Charts and visualisations: Show how to generate charts in a few software platforms. Show lots of examples to demonstrate how patterns can be seen in charts that are hard to see in tables. Use real work GW examples and a broad variety of chart types.* Visualising acceleration: Write a program with just the micro:bit that saves 200 or so values of accelerometer to file. Run the program, wave the micro:bit round, extract that data and then chart it. Repeat and wave differently to get a different data profile - discuss.* Summary - Guidelines for analysis: Draw together all the advise / info we have provided so far into a checklist people can use when undertaking analysis. Chapter 6: Wireless CommunicationChapter Goal: In this chapter we will introduce the reader to a variety of wireless communication options. They will understand the differences between Bluetooth, Wi-fi and LoRa (maybe Sigfox too) and they will have any idea of their strengths and weaknesses. The reader will be able to make an informed decision about which method to use in which context.* Communicating data wirelessly has a lot of advantages, such as real time updates, less human hassly / error.* Introduction to wireless communications. Explain the generic model of wireless communications showing the key components (e.g. base, ota waves, receiver) that are common to all.* Show how Bluetooth implements the generic model* Show how Wi-Fi implements the generic model* Show how LoRa implements the generic model* Table showing strengths and weaknesses of all 3 methods, with guidelines on when each is appropriate.Chapter 7: Sending data via BluetoothChapter Goal: At the end of this chapter, the reader will able to send the sensor data to a mobile app through the Bluetooth, and understand how Bluetooth can be used to send data over a short distance.* Programming the micro:bit to send data over Bluetooth UART (MakeCode is easy).* Installing Bitty app.* Pairing micro:bit with the Bitty app.* Receiving data (only for visualize).* Bitty - Show weather station sharing data with bitty.Chapter 8: Sending data through WiFi using MQTTChapter Goal: After reading this chapter, the reader will be able to send the sensor data to the Ubidots dashboard through WiFi using MQTT, a lightweight messaging protocol. The reader will learn how to program the CW01 with MakeCode/MicroPython, Setting up the Ubidots dashboard to visualize data, triggering events with the Ubidots, and analyzing the relationship with temperature and humidity with a simple graph.* What is WiFi?* Explain difference with WiFi and Bluetooth on micro:bit - strengths and weaknesses of both.* Explaining MQTT in simple terms* Connecting micro:bit, BM11, IP01, and CW01 together using uBus connectors (can use the same setup used in the previous chapter).* Preparing MakeCode with required packages that support CW01. * Setting up Ubidots (creating an account, configuring the dashboard, etc.)* Setting up HiveMQ, creating topics, etc.* Programming and flashing micro:bit.* Programming and flashing CW01* Visualizing data with Ubidots * Plotting temp with humidity (Can you see a relationship?).* Triggering (sending an e-mail if the temperature is too high)Chapter 9: Sending Data via LoRaChapter Goal: After completing this chapter, the reader will be able to build a simple LoRa network and use it to send the data collected by the weather station to the Ubidots IoT platform, visualizing, and analyzing data.* Overview of XinaBox hardware for LoRa / may be others* Connecting the micro:bit, RL0x, and BM01 together.* Setting up the LoRa gateway* Connecting the LoRa gateway with a WiFi/Cellular/LAN* Programming with MakeCode / MicroPython, using any provides libraries* Setting up Ubidots and creating a dashboard to visualizing data (if not, use The Things Network - TTN with any supported app to visualize the data.)Chapter 10: Now we are ready to be data scientistsChapter Goal: We’ve spent a lot of time developing skills that are key to a data scientist, and this chapter will highlight those skills and give ideas about how they can / are used in everyday life. We’ll also list the tools we’ve learned above and begin to talk about how they can be applied to useful projects that will address global warming.* List out the skills that we have learned, measuring data, recording it, tabulating, charting and analysing.* List out the tools we now have at our disposal - we know how to use sensors, how to store data and how to get it off the device into a tool we can use to tabulate, chart and perform actions on.* We talk about limits of micro:bit - that it won’t be able to handle a lot of stuff at once. That will be a constraint we’ll have to work with.* Identify real world examples of where similar tech to ours is used, break each down into the simple components we know: Weather forecasting, automatic street lamps, credit card transactions, GPS positioning, etc.Chapter 11: Measuring the power consumption of a light bulbChapter Goal: The consumption of electricity is strongly related to GW. By following this chapter, the reader will be able to build a tool to measure the kilowatt-hours (power consumption) used by a light bulb. The reader will use micro:bit and SL01 to detect the presence of the light. The reader will write the code to calculate and display the kilowatts used by the light bulb with the wattage of the lamp and the elapsed time for lighting.* Basics of power consumption/watts/ watt-hour, etc.* Building the unit with micro:bit and SL01* Creating the code with MakeCode (using running time block to calculate the elapsed time)* Displaying the usage of kilowatt-hours on the OLED display or sending data to a cloud (will consider later)* We can go deep by analyzing the peak time of the power consumption.Chapter 12: Monitor Air Pollution LevelsChapter Goal: By following this chapter, the reader will be able to build a digital instrument to monitor the air quality which includes eCO2 (equivalent calculated carbon-dioxide), and TVOC (Total Volatile Organic Compound), alcohols, aldehydes, ketones, organic acids, amines, aliphatic and aromatic hydrocarbons. Then the reader will be able to identify the level of pollution in the air based on the air quality index (good, moderate, unhealthy for sensitive groups, unhealthy, very unhealthy, hazardous).No of pages: 20Sub - Topics:* Introducing the air quality index.* Building the project with XinaBox SG33 - VOC & eCO2 (CCS811).* Programming the core* Displaying useful information on the OLED display* Optional (add buzzer or vibrator to indicate unhealthy or hazardous environments)Chapter 13: Geotagging your Weather StationChapter Goal: Sensor data by itself is bland stuff. Associating it with a time and place gives more life to it, and your sensor data could become more socialized. By following this chapter, the reader will be able to add the geotagging feature to the weather station (Prerequisite: The weather station should have the ability to connect to the Internet with WiFi or through LoRa) using SN01 or similar GPS module. Then the reader will be able to send sensor data along with the time and location (lat/lon), and other useful GPS data to an IoT dashboard like Ubidots. Finally, the reader will view and analyze some interesting patterns of weather data with the locations.* Introduction to the geotagging and explaining how important it is/trends, etc.* Adding SN01 to an existing weather station project (in chapter 8 or 9).* Programming the cores for getting GPS data too.* Sending data to an IoT dashboard* Viewing and analyzing data/ asking questions, etc.Chapter 14: Measuring Noise Pollution on Your WayChapter Goal: Measuring the sound level is an exciting topic today. Sounds above 85 dB are harmful, depending on how long and how often you are exposed to them. By following this chapter, the reader will be able to measure the sound level in different locations. The reader will be able to collect data, analyze, and identify the areas with a harmful level of sound pollution.* Identifying the harmful areas * Introduction to sound pollution and different sound levels* Building the circuit with the SparkFun sound detector or similar thing: https://www.sparkfun.com/products/14262* Programming the cores* Gathering data* AnalyzingChapter 15: Beyond the micro:bitChapter Goal: By following this chapter, the reader will be able to rebuild the weather station by replacing the micro:bit with other microcontrollers that commonly available.* Building the weather station with CC01 / maker.makecode, programming, sending data to an IoT dashboard.* Building the weather station with CC01 / Arduino, programming, sending data to an IoT dashboard.* Building the weather station with CC01 / Zerynth, programming, sending data to an IoT dashboard. Note - we’d want to use CW02 for this as it has a license on board.* Building the weather station with Raspberry Pi, programming, sending data to an IoT dashboard.Appendix AWe will also include following if we have enough time to complete this book on time.* Sending micro:bit weather station into high altitude / low earth orbit.* Sending a weather station to high altitude using a helium balloon.* Sending a weather station to low earth orbit.* Choosing a long-range communication technology (say LoRa)* Setting up the ground station.* Receiving, visualizing, comparing, analyzing sensor dataUsing the Blynk to replace the UART terminal app (requires Arduino IDE and nRF5 support package for Arduino).* Using a PIR sensor with micro:bit to turn on/off lights by detecting the presence of a human. Also when natural light is bright enough. Show how it can be used for a table lamp and consider completely novel applications (turn off music, lock a door).* A project for monitoring water pollution.
CompTIA CySA+ Study Guide
THIS UPDATED STUDY GUIDE BY TWO SECURITY EXPERTS WILL HELP YOU PREPARE FOR THE COMPTIA CYSA+ CERTIFICATION EXAM. POSITION YOURSELF FOR SUCCESS WITH COVERAGE OF CRUCIAL SECURITY TOPICS!Where can you find 100% coverage of the revised CompTIA Cybersecurity Analyst+ (CySA+) exam objectives? It’s all in the CompTIA CySA+ Study Guide Exam CS0-002, Second Edition! This guide provides clear and concise information on crucial security topics. You’ll be able to gain insight from practical, real-world examples, plus chapter reviews and exam highlights. Turn to this comprehensive resource to gain authoritative coverage of a range of security subject areas.* Review threat and vulnerability management topics* Expand your knowledge of software and systems security* Gain greater understanding of security operations and monitoring* Study incident response information* Get guidance on compliance and assessment The CompTIA CySA+ Study Guide, Second Edition connects you to useful study tools that help you prepare for the exam. Gain confidence by using its interactive online test bank with hundreds of bonus practice questions, electronic flashcards, and a searchable glossary of key cybersecurity terms. You also get access to hands-on labs and have the opportunity to create a cybersecurity toolkit.Leading security experts, Mike Chapple and David Seidl, wrote this valuable guide to help you prepare to be CompTIA Security+ certified. If you’re an IT professional who has earned your CompTIA Security+ certification, success on the CySA+ (Cybersecurity Analyst) exam stands as an impressive addition to your professional credentials. Preparing and taking the CS0-002exam can also help you plan for advanced certifications, such as the CompTIA Advanced Security Practitioner (CASP+).MIKE CHAPPLE, PHD, CYSA+, CISSP, is Teaching Professor of IT, Analytics, and Operations at the University of Notre Dame. He's a cybersecurity professional and educator with over 20 years of experience. Mike provides cybersecurity certification resources at his website, CertMike.com.DAVID SEIDL, CYSA+, CISSP, PENTEST+, is Vice President for Information Technology and CIO at Miami University. David co-led Notre Dame's move to the cloud, and has written multiple cybersecurity certification books.Introduction xxviiAssessment Test xliCHAPTER 1 TODAY’S CYBERSECURITY ANALYST 1Cybersecurity Objectives 2Privacy vs. Security 3Evaluating Security Risks 4Identify Threats 6Identify Vulnerabilities 8Determine Likelihood, Impact, and Risk 8Reviewing Controls 10Building a Secure Network 10Network Access Control 10Firewalls and Network Perimeter Security 12Network Segmentation 15Defense Through Deception 16Secure Endpoint Management 17Hardening System Configurations 17Patch Management 17Group Policies 18Endpoint Security Software 19Penetration Testing 19Planning a Penetration Test 20Conducting Discovery 21Executing a Penetration Test 21Communicating Penetration Test Results 22Training and Exercises 22Reverse Engineering 22Isolation and Sandboxing 23Reverse-Engineering Software 23Reverse-Engineering Hardware 24The Future of Cybersecurity Analytics 25Summary 26Exam Essentials 26Lab Exercises 28Activity 1.1: Create an Inbound Firewall Rule 28Activity 1.2: Create a Group Policy Object 28Activity 1.3: Write a Penetration Testing Plan 30Activity 1.4: Recognize Security Tools 30Review Questions 30CHAPTER 2 USING THREAT INTELLIGENCE 35Threat Data and Intelligence 36Open Source Intelligence 37Proprietary and Closed Source Intelligence 39Assessing Threat Intelligence 39Threat Indicator Management and Exchange 41The Intelligence Cycle 42The Threat Intelligence Community 43Threat Classification 44Threat Actors 44Threat Classification 45Threat Research and Modeling 46Attack Frameworks 48MITRE’s ATT&CK Framework 48The Diamond Model of Intrusion Analysis 50Lockheed Martin’s Cyber Kill Chain 51The Unified Kill Chain 53Common Vulnerability Scoring System (CVSS) 53Applying Threat Intelligence Organizationwide 53Proactive Threat Hunting 54Summary 55Exam Essentials 56Lab Exercises 57Activity 2.1: Explore the ATT&CK Framework 57Activity 2.2: Set Up a STIX/TAXII Feed 58Activity 2.3: Intelligence Gathering Techniques 58Review Questions 59CHAPTER 3 RECONNAISSANCE AND INTELLIGENCE GATHERING 63Mapping and Enumeration 64Active Reconnaissance 65Mapping Networks and Discovering Topology 65Pinging Hosts 67Port Scanning and Service Discovery Techniques and Tools 69Passive Footprinting 75Log and Configuration Analysis 76Harvesting Data from DNS and Whois 84Responder 91Information Aggregation and Analysis Tools 92Information Gathering Using Packet Capture 92Gathering Organizational Intelligence 92Organizational Data 93Electronic Document Harvesting 94Detecting, Preventing, and Responding to Reconnaissance 97Capturing and Analyzing Data to Detect Reconnaissance 97Preventing Reconnaissance 99Summary 100Exam Essentials 101Lab Exercises 102Activity 3.1: Port Scanning 102Activity 3.2: Write an Intelligence Gathering Plan 102Activity 3.3: Intelligence Gathering Techniques 103Review Questions 103CHAPTER 4 DESIGNING A VULNERABILITY MANAGEMENT PROGRAM 109Identifying Vulnerability Management Requirements 110Regulatory Environment 110Corporate Policy 114Identifying Scan Targets 114Determining Scan Frequency 115Active vs. Passive Scanning 117Configuring and Executing Vulnerability Scans 118Scoping Vulnerability Scans 118Configuring Vulnerability Scans 119Scanner Maintenance 123Developing a Remediation Workflow 126Reporting and Communication 127Prioritizing Remediation 129Testing and Implementing Fixes 130Delayed Remediation Options 131Overcoming Risks of Vulnerability Scanning 131Vulnerability Scanning Tools 133Infrastructure Vulnerability Scanning 133Web Application Scanning 133Interception Proxies 134Wireless Assessment Tools 136Summary 137Exam Essentials 138Lab Exercises 139Activity 4.1: Install a Vulnerability Scanner 139Activity 4.2: Run a Vulnerability Scan 140Review Questions 140CHAPTER 5 ANALYZING VULNERABILITY SCANS 145Reviewing and Interpreting Scan Reports 146Understanding CVSS 148Validating Scan Results 155False Positives 156Documented Exceptions 156Understanding Informational Results 157Reconciling Scan Results with Other Data Sources 158Trend Analysis 158Common Vulnerabilities 158Server and Endpoint Vulnerabilities 159Network Vulnerabilities 168Virtualization Vulnerabilities 173Internet of Things (IoT) 176Web Application Vulnerabilities 177Authentication Vulnerabilities 181Summary 183Exam Essentials 184Lab Exercises 185Activity 5.1: Interpret a Vulnerability Scan 185Activity 5.2: Analyze a CVSS Vector 185Activity 5.3: Remediate a Vulnerability 185Review Questions 187CHAPTER 6 CLOUD SECURITY 191Understanding Cloud Environments 192The Case for Cloud Computing 193Cloud Service Models 194Cloud Deployment Models 200Operating in the Cloud 204DevOps Strategies 205Infrastructure as Code (IaC) 206Application Programming Interfaces 207Cloud Monitoring 208Cloud Infrastructure Security 208Cloud Infrastructure Security Tools 209Cloud Access Security Brokers (CASB) 213Summary 214Exam Essentials 215Lab Exercises 216Activity 6.1: Run a ScoutSuite Assessment 216Activity 6.2: Explore the Exploits Available with Pacu 216Activity 6.3: Scan an AWS Account with Prowler 216Review Questions 217CHAPTER 7 INFRASTRUCTURE SECURITY AND CONTROLS 221Understanding Defense-in-Depth 222Layered Security 222Zero Trust 223Segmentation 224Network Architecture 226Physical Network Architectures 227Software-Defined Networks 227Virtualization 228Asset and Change Management 229Logging, Monitoring, and Validation 229Encryption 230Active Defense 231Infrastructure Security and the Cloud 231Improving Security by Improving Controls 233Layered Host Security 234Permissions 235Whitelisting and Blacklisting 235Technical Controls 236Policy, Process, and Standards 238Analyzing Security Architecture 240Analyzing Security Requirements 240Reviewing Architecture 241Common Issues 242Reviewing a Security Architecture 246Maintaining a Security Design 248Summary 249Exam Essentials 249Lab Exercises 250Activity 7.1: Review an Application Using the OWASP Attack Surface Analysis Cheat Sheet 250Activity 7.2: Review a NIST Security Architecture 251Activity 7.3: Security Architecture Terminology 252Review Questions 253CHAPTER 8 IDENTITY AND ACCESS MANAGEMENT SECURITY 259Understanding Identity 260Identity Systems and Security Design 261Threats to Identity and Access 269Understanding Security Issues with Identities 269Attacking AAA Systems and Protocols 270Targeting Account Creation, Provisioning, and Deprovisioning 275Preventing Common Exploits of Identity and Authorization 276Acquiring Credentials 277Identity as a Security Layer 280Identity and Defense-in-Depth 280Securing Authentication and Authorization 281Detecting Attacks and Security Operations 288Federation and Single Sign-On 289Federated Identity Security Considerations 289Federated Identity Design Choices 291Federated Identity Technologies 293Federation Incident Response 297Summary 297Exam Essentials 298Lab Exercises 299Activity 8.1: Federated Security Scenario 299Activity 8.2: On-site Identity Issues Scenario 300Activity 8.3: Identity and AccessManagement Terminology 301Review Questions 303CHAPTER 9 SOFTWARE AND HARDWARE DEVELOPMENT SECURITY 307Software Assurance Best Practices 308The Software Development Life Cycle 309Software Development Phases 310Software Development Models 311DevSecOps and DevOps 317Designing and Coding for Security 318Common Software Development Security Issues 319Security Implications of Target Platforms 321Secure Coding Best Practices 322API Security 325Service-Oriented Architectures 325Application Testing 327Information Security and the SDLC 327Code Review Models 328Software Security Testing 331Software Assessment: Testing and Analyzing Code 332Web Application Vulnerability Scanning 335Hardware Assurance Best Practices 337Cryptographic Hardware 337Firmware Security 338Hardware Security 339Summary 340Exam Essentials 341Lab Exercises 342Activity 9.1: Review an Application Using the OWASP Application Security Architecture Cheat Sheet 342Activity 9.2: Learn About Web Application Exploits from WebGoat 342Activity 9.3: SDLC Terminology 343Review Questions 344CHAPTER 10 SECURITY OPERATIONS AND MONITORING 349Security Monitoring 350Analyzing Security Data 350Logs 351Endpoint Data Analysis 358Network Data Analysis 362Protecting and Analyzing Email 365Scripting, Searching, and Text Manipulation 369Summary 371Exam Essentials 371Lab Exercises 372Activity 10.1: Analyze a Network Capture File 372Activity 10.2: Analyze a Phishing Email 373Activity 10.3: Security Architecture Terminology 373Review Questions 374CHAPTER 11 BUILDING AN INCIDENT RESPONSE PROGRAM 379Security Incidents 380Phases of Incident Response 381Preparation 382Detection and Analysis 383Containment, Eradication, and Recovery 384Postincident Activity 385Building the Foundation for Incident Response 387Policy 387Procedures and Playbooks 387Documenting the Incident Response Plan 388Creating an Incident Response Team 389Incident Response Providers 391CSIRT Scope of Control 391Coordination and Information Sharing 391Internal Communications 392External Communications 392Classifying Incidents 393Threat Classification 393Severity Classification 394Summary 398Exam Essentials 398Lab Exercises 399Activity 11.1: Incident Severity Classification 399Activity 11.2: Incident Response Phases 400Activity 11.3: Develop an Incident Communications Plan 400Review Questions 401CHAPTER 12 ANALYZING INDICATORS OF COMPROMISE 405Analyzing Network Events 406Capturing Network-Related Events 407Network Monitoring Tools 411Detecting Common Network Issues 413Detecting Scans and Probes 417Detecting Denial-of-Service and Distributed Denial-of-Service Attacks 417Detecting Other Network Attacks 420Detecting and Finding Rogue Devices 420Investigating Host-Related Issues 422System Resources 422Malware, Malicious Processes, and Unauthorized Software 426Unauthorized Access, Changes, and Privileges 428Investigating Service and Application-Related Issues 430Application and Service Monitoring 431Application and Service Issue Response and Restoration 433Detecting Attacks on Applications 434Summary 435Exam Essentials 436Lab Exercises 436Activity 12.1: Identify a Network Scan 436Activity 12.2: Write a Service Issue Response Plan 437Activity 12.3: Security Tools 438Review Questions 439CHAPTER 13 PERFORMING FORENSIC ANALYSIS AND TECHNIQUES 443Building a Forensics Capability 444Building a Forensic Toolkit 444Understanding Forensic Software 448Capabilities and Application 448Conducting Endpoint Forensics 452Operating System, Process, and Memory Dump Analysis 452Network Forensics 455Cloud, Virtual, and Container Forensics 458Conducting a Forensic Investigation 460Forensic Procedures 460Target Locations 462Acquiring and Validating Drive Images 463Imaging Live Systems 467Acquiring Other Data 467Forensic Investigation: An Example 471Importing a Forensic Image 471Analyzing the Image 473Reporting 476Summary 478Exam Essentials 478Lab Exercises 479Activity 13.1: Create a Disk Image 479Activity 13.2: Conduct the NIST Rhino Hunt 480Activity 13.3: Security Tools 481Review Questions 482CHAPTER 14 CONTAINMENT, ERADICATION, AND RECOVERY 487Containing the Damage 489Segmentation 490Isolation 492Removal 493Evidence Gathering and Handling 495Identifying Attackers 495Incident Eradication and Recovery 496Reconstruction and Reimaging 497Patching Systems and Applications 497Sanitization and Secure Disposal 498Validating the Recovery Effort 500Wrapping Up the Response 500Managing Change Control Processes 501Conducting a Lessons Learned Session 501Developing a Final Report 501Evidence Retention 502Summary 502Exam Essentials 502Lab Exercises 503Activity 14.1: Incident Containment Options 503Activity 14.2: Incident Response Activities 505Activity 14.3: Sanitization and Disposal Techniques 506Review Questions 507CHAPTER 15 RISK MANAGEMENT 511Analyzing Risk 512Risk Identification 513Risk Calculation 514Business Impact Analysis 515Managing Risk 518Risk Mitigation 519Risk Avoidance 520Risk Transference 520Risk Acceptance 521Security Controls 522Nontechnical Controls 522Technical Controls 526Summary 528Exam Essentials 529Lab Exercises 529Activity 15.1: Risk Management Strategies 529Activity 15.2: Risk Identification and Assessment 530Activity 15.3: Risk Management 530Review Questions 531CHAPTER 16 POLICY AND COMPLIANCE 535Understanding Policy Documents 536Policies 536Standards 539Procedures 541Guidelines 542Exceptions and Compensating Controls 543Complying with Laws and Regulations 545Adopting a Standard Framework 546NIST Cybersecurity Framework 546ISO 27001 549Control Objectives for Information and Related Technologies (COBIT) 550Information Technology Infrastructure Library (ITIL) 551Implementing Policy-Based Controls 552Security Control Categories 552Security Control Types 553Security Control Verification and Quality Control 553Summary 554Exam Essentials 554Lab Exercises 555Activity 16.1: Policy Documents 555Activity 16.2: Using a Cybersecurity Framework 556Activity 16.3: Compliance Auditing Tools 556Review Questions 557APPENDICES 561APPENDIX A PRACTICE EXAM 561Exam Questions 562APPENDIX B ANSWERS TO REVIEW QUESTIONS AND PRACTICE EXAM 581Chapter 1: Today’s Cybersecurity Analyst 582Chapter 2: Using Threat Intelligence 583Chapter 3: Reconnaissance and Intelligence Gathering 585Chapter 4: Designing a Vulnerability Management Program 587Chapter 5: Analyzing Vulnerability Scans 589Chapter 6: Cloud Security 590Chapter 7: Infrastructure Security and Controls 592Chapter 8: Identity and Access Management Security 595Chapter 9: Software and Hardware Development Security 597Chapter 10: Security Operations and Monitoring 599Chapter 11: Building an Incident Response Program 601Chapter 12: Analyzing Indicators of Compromise 603Chapter 13: Performing Forensic Analysis and Techniques 605Chapter 14: Containment, Eradication, and Recovery 607Chapter 15: Risk Management 609Chapter 16: Policy and Compliance 610Practice Exam Answers 612APPENDIX C ANSWERS TO LAB EXERCISES 621Chapter 1: Today’s Cybersecurity Analyst 622Solution to Activity 1.4: Recognize Security Tools 622Chapter 2: Using Threat Intelligence 622Solution to Activity 2.3: Intelligence Gathering Techniques 622Chapter 3: Reconnaissance and Intelligence Gathering 623Solution to Activity 3.3: Intelligence Gathering Tools 623Chapter 5: Analyzing Vulnerability Scans 623Solution to Activity 5.2: Analyze a CVSS Vector 623Chapter 7: Infrastructure Security and Controls 624Solution to Activity 7.3: Security Architecture Terminology 624Chapter 8: Identity and Access Management Security 625Solution to Activity 8.1: Federated Security Scenario 625Solution to Activity 8.2: On-site Identity Issues Scenario 625Solution to Activity 8.3: Identity and Access Management Terminology 626Chapter 9: Software and Hardware Development Security 627Solution to Activity 9.3: Security Tools 627Chapter 10: Security Operations and Monitoring 627Solution to Activity 10.3: Security Architecture Terminology 627Chapter 11: Building an Incident Response Program 628Solution to Activity 11.1: Incident Severity Classification 628Solution to Activity 11.2: Incident Response Phases 629Chapter 12: Analyzing Indicators of Compromise 629Solution to Activity 12.3: Security Tools 629Chapter 13: Performing Forensic Analysis and Techniques 630Solution to Activity 13.2: Conduct the NIST Rhino Hunt 630Solution to Activity 13.3: Security Tools 630Chapter 14: Containment, Eradication, and Recovery 631Solution to Activity 14.1: Incident Containment Options 631Solution to Activity 14.2: Incident Response Activities 632Solution to Activity 14.3: Sanitization and Disposal Techniques 633Chapter 15: Risk Management 633Solution to Activity 15.1: Risk Management Strategies 633Chapter 16: Policy and Compliance 634Solution to Activity 16.1: Policy Documents 634Solution to Activity 16.3: Compliance Auditing Tools 634Index 635