Allgemein
Beginning Unreal Game Development
Get started creating video games using Unreal Engine 4 (UE4) and learning the fundamentals of game development. Through hands-on, step-by-step tutorials, you will learn to design engaging environments and a build solid foundation for more complex games. Discover how to utilize the 3D game design software behind the development of immensely popular games for PC, console, and mobile.Beginning Unreal Game Development steers you through the fundamentals of game development with UE4 to design environments that both engage the player and are aesthetically pleasing. Author David Nixon shows you how to script logic, define behaviors, store data, and create characters. You will learn to create user interfaces, such as menus, load screens, and head-up displays (HUDs), and manipulate audio to add music, sound effects, and dialogue to your game. The book covers level editors, actor types, blueprints, character creation and control, and much more. Throughout the book, you’ll put theory into practice and create an actual game using a series of step-by-step tutorials.With a clear, step-by-step approach, Beginning Unreal Game Development builds up your knowledge of Unreal Engine 4 so you can start creating and deploying your own 3D video games in no time.WHAT YOU WILL LEARN* Learn the fundamentals of game design* Understand how to use Unreal Engine 4* Design amazing levels for your characters to play in* Script logic to control the behavior of the world you createWHO THIS BOOK IS FORThis book is for beginners with no prior game design or programming experience. It is also intended for video game enthusiasts who are brand-new to the world of game development and want to learn how to design a game from scratch using UE4.David Nixon is a professional software developer with a degree in computer science from Florida Atlantic University. He is a lifelong video game aficionado who started with the Atari 2600 and never looked back. He enjoys music, reading, and sports in his spare time.
Pro T-SQL 2019
Design and write simple and efficient T-SQL code in SQL Server 2019 and beyond. Writing T-SQL that pulls back correct results can be challenging. This book provides the help you need in writing T-SQL that performs fast and is easy to maintain. You also will learn how to implement version control, testing, and deployment strategies.Hands-on examples show modern T-SQL practices and provide straightforward explanations. Attention is given to selecting the right data types and objects when designing T-SQL solutions. Author Elizabeth Noble teaches you how to improve your T-SQL performance through good design practices that benefit programmers and ultimately the users of the applications. You will know the common pitfalls of writing T-SQL and how to avoid those pitfalls going forward.WHAT YOU WILL LEARN* Choose correct data types and database objects when designing T-SQL* Write T-SQL that searches data efficiently and uses hardware effectively* Implement source control and testing methods to streamline the deployment process* Design T-SQL that can be enhanced or modified with less effort* Plan for long-term data management and storageWHO THIS BOOK IS FORDatabase developers who want to improve the efficiency of their applications, and developers who want to solve complex query and data problems more easily by writing T-SQL that performs well, brings back correct results, and is easy for other developers to understand and maintainELIZABETH NOBLE is a senior database administrator in the metro Atlanta area. It was love at first sight when she was introduced to her first database over 10 years ago. Her passion is to help others improve the quality and speed of deploying database changes through automation. When she is not trying to automate all things, she can be found spending time with her dogs, playing disc golf, or taking a walk at the gym. IntroductionPART I. BUILDING UNDERSTANDABLE T-SQL1. Data Types2. Database Objects3. Standardizing T-SQL4. Designing T-SQLPART II. BUILDING PERFORMANT T-SQL5. Set-Based Design6. Hardware Usage7. Execution Plans8. Optimize T-SQLPART III. BUILDING MANAGEABLE T-SQL9. Coding Standards10. Source Control11. Testing12. DeploymentPART IV. BUILDING MAINTAINABLE T-SQL13. Functional Design14. Logging15. Managing Data Growth
Machine Learning for iOS Developers
HARNESS THE POWER OF APPLE IOS MACHINE LEARNING (ML) CAPABILITIES AND LEARN THE CONCEPTS AND TECHNIQUES NECESSARY TO BE A SUCCESSFUL APPLE IOS MACHINE LEARNING PRACTITIONER!Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple’s ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications.Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book’s clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models—both pre-trained and user-built—with Apple’s CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers:* Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics* Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming* Develop skills in data acquisition and modeling, classification, and regression.* Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS)* Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreMLMachine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.ABHISHEK MISHRA has more than 19 years of experience across a broad range of mobile and enterprise technologies. He consults as a security and fraud solution architect with Lloyds Banking group PLC in London. He is the author of Machine Learning on the AWS Cloud, Amazon Web Services for Mobile Developers, iOS Code Testing, and Swift iOS: 24-Hour Trainer. Introduction xixPART 1 FUNDAMENTALS OF MACHINE LEARNING 1CHAPTER 1 INTRODUCTION TO MACHINE LEARNING 3What is Machine Learning? 4Tools Commonly Used by Data Scientists 4Common Terminology 5Real-World Applications of Machine Learning 7Types of Machine Learning Systems 8Supervised Learning 9Unsupervised Learning 10Semisupervised Learning 11Reinforcement Learning 11Batch Learning 12Incremental Learning 12Instance-Based Learning 13Model-Based Learning 13Common Machine Learning Algorithms 13Linear Regression 14Support Vector Machines 15Logistic Regression 19Decision Trees 21Artificial Neural Networks 23Sources of Machine Learning Datasets 24Scikit-learn Datasets 24AWS Public Datasets 27Kaggle.com Datasets 27UCI Machine Learning Repository 27Summary 28CHAPTER 2 THE MACHINE-LEARNING APPROACH 29The Traditional Rule-Based Approach 29A Machine-Learning System 33Picking Input Features 34Preparing the Training and Test Set 39Picking a Machine-Learning Algorithm 40Evaluating Model Performance 41The Machine-Learning Process 44Data Collection and Preprocessing 44Preparation of Training, Test, and Validation Datasets 44Model Building 45Model Evaluation 45Model Tuning 45Model Deployment 46Summary 46CHAPTER 3 DATA EXPLORATION AND PREPROCESSING 47Data Preprocessing Techniques 47Obtaining an Overview of the Data 47Handling Missing Values 57Creating New Features 60Transforming Numeric Features 62One-Hot Encoding Categorical Features 64Selecting Training Features 65Correlation 65Principal Component Analysis 68Recursive Feature Elimination 70Summary 71CHAPTER 4 IMPLEMENTING MACHINE LEARNING ON MOBILE APPS 73Device-Based vs Server-Based Approaches 73Apple’s Machine Learning Frameworks and Tools 75Task-Level Frameworks 75Model-Level Frameworks 76Format Converters 76Transfer Learning Tools 77Third-Party Machine-Learning Frameworks and Tools 78Summary 79PART 2 MACHINE LEARNING WITH COREML, CREATEML, AND TURICREATE 81CHAPTER 5 OBJECT DETECTION USING PRE- TRAINED MODELS 83What is Object Detection? 83A Brief Introduction to Artificial Neural Networks 86Downloading the ResNet50 Model 92Creating the iOS Project 92Creating the User Interface 95Updating Privacy Settings 100Using the Resnet50 Model in the iOS Project 100Summary 109CHAPTER 6 CREATING AN IMAGE CLASSIFIER WITH THE CREATE ML APP 111Introduction to the Create ML App 112Creating the Image Classification Model with the Create ML App 113Creating the iOS Project 117Creating the User Interface 118Updating Privacy Settings 122Using the Core ML Model in the iOS Project 123Summary 132CHAPTER 7 CREATING A TABULAR CLASSIFIER WITH CREATE ML 135Preparing the Dataset for the Create ML App 135Creating the Tabular Classification Model with the Create ML App 143Creating the iOS Project 147Creating the User Interface 148Using the Classification Model in the iOS Project 156Testing the App 172Summary 173CHAPTER 8 CREATING A DECISION TREE CLASSIFIER R 175Decision Tree Recap 175Examining the Dataset 176Creating Training and Test Datasets 180Creating the Decision Tree Classification Model with Scikit-learn 181Using Core ML Tools to Convert the Scikit-learn Model to the Core ML Format 186Creating the iOS Project 187Creating the User Interface 188Using the Scikit-learn Decision Tree Classifier Model in the iOS Project 193Testing the App 201Summary 202CHAPTER 9 CREATING A LOGISTIC REGRESSION MODEL USING SCIKIT-LEARN AND CORE ML 203Examining the Dataset 203Creating a Training and Test Dataset 208Creating the Logistic Regression Model with Scikit-learn 210Using Core ML Tools to Convert the Scikit-learn Model to the Core ML Format 216Creating the iOS Project 218Creating the User Interface 219Using the Scikit-learn Model in the iOS Project 225Testing the App 232Summary 233CHAPTER 10 BUILDING A DEEP CONVOLUTIONAL NEURAL NETWORK WITH KERAS 235Introduction to the Inception Family of Deep Convolutional Neural Networks 236GoogLeNet (aka Inception-v1) 236Inception-v2 and Inception-v3 238Inception-v4 and Inception-ResNet 239A Brief Introduction to Keras 244Implementing Inception-v4 with the Keras Functional API 246Training the Inception-v4 Model 259Exporting the Keras Inception-v4 Model to the Core ML Format 269Creating the iOS Project 270Creating the User Interface 271Updating Privacy Settings 276Using the Inception-v4 Model in the iOS Project 277Summary 286APPENDIX A ANACONDA AND JUPYTER NOTEBOOK SETUP 287Installing the Anaconda Distribution 287Creating a Conda Python Environment 288Installing Python Packages 291Installing Jupyter Notebook 293Summary 296APPENDIX B INTRODUCTION TO NUMPY AND PANDAS 297NumPy 297Creating NumPy Arrays 297Modifying Arrays 301Indexing and Slicing 304Pandas 305Creating Series and Dataframes 305Getting Dataframe Information 307Selecting Data 311Summary 313Index 315
Disruption durch digitale Plattform-Ökosysteme
Disruption ist das Schlagwort einer Digitalmoderne, in der digitale Plattform-Ökosysteme eine neue Ökonomie erzeugen. Es expandiert eine Plattform-Ökonomie, die etablierte Unternehmen und Industrien in ihren Grundfesten erschüttert. Die Erschütterungen werden von dem Phänomen der Disruption ausgelöst. In Literatur und Praxis wird der Begriff der Disruption aber inflationär für nahezu alles herangezogen. Daher zielt das vorliegende kompakte Buch auf die kohärente Klärung des Begriffs der Disruption als ein Axiom der Digitalmoderne ab. Zudem erläutert der Autor die Expansionsdynamiken digitaler Plattform-Öko-Systeme durch Big Data-Management und Anwendungen der schwachen Künstlichen Intelligenz. Die Ausführungen zeigen die Relevanz der Disruptionstheorie praxisorientiert am Beispiel der digitalen Transformation eines großen Verlagshauses. Der Autor bietet mit seinem Werk Denkwerkzeuge und -anregungen, jedoch keinen schablonenhaften Ratgeber. Damit richtet sich das Buch an alle, die sich mit disruptiven Dynamiken der Digitalisierung kritisch auseinandersetzen und eigene Gedanken weiterentwickeln möchten.Michael Jaekel verfügt über langjährige Berufs- und Führungserfahrung in der internationalen Strategieberatung, im globalen Portfolio Management und im Big Deal Management namhafter Großunternehmen im In- und Ausland. Weiterhin ist er gefragter Redner und Autor zu Themen wie der strategischen Transformation von Geschäftsmodellen, Entwicklung von Apps-Öko-Systemen und Smart City Initiativen.Zwei Gesichter der Disruption.- Digitale Plattform-Ökosysteme in einer expandierenden Digitalsphäre.- Möglichkeiten und Grenzen Künstlicher Intelligenz.
A Primer on Memory Consistency and Cache Coherence
MANY MODERN COMPUTER SYSTEMS, INCLUDING HOMOGENEOUS AND HETEROGENEOUS ARCHITECTURES, SUPPORT SHARED MEMORY IN HARDWARE.In a shared memory system, each of the processor cores may read and write to a single shared address space. For a shared memory machine, the memory consistency model defines the architecturally visible behavior of its memory system. Consistency definitions provide rules about loads and stores (or memory reads and writes) and how they act upon memory. As part of supporting a memory consistency model, many machines also provide cache coherence protocols that ensure that multiple cached copies of data are kept up-to-date. The goal of this primer is to provide readers with a basic understanding of consistency and coherence. This understanding includes both the issues that must be solved as well as a variety of solutions. We present both high-level concepts as well as specific, concrete examples from real-world systems.This second edition reflects a decade of advancements since the first edition and includes, among other more modest changes, two new chapters: one on consistency and coherence for non-CPU accelerators (with a focus on GPUs) and one that points to formal work and tools on consistency and coherence.* Preface to the Second Edition* Preface to the First Edition* Introduction to Consistency and Coherence* Coherence Basics* Memory Consistency Motivation and Sequential Consistency* Total Store Order and the x86 Memory Model* Relaxed Memory Consistency* Coherence Protocols* Snooping Coherence Protocols* Directory Coherence Protocols* Advanced Topics in Coherence* Consistency and Coherence for Heterogeneous Systems* Specifying and Validating Memory Consistency Models and Cache Coherence* Authors' Biographies
Hunting Cyber Criminals
The skills and tools for collecting, verifying and correlating information from different types of systems is an essential skill when tracking down hackers. This book explores Open Source Intelligence Gathering (OSINT) inside out from multiple perspectives, including those of hackers and seasoned intelligence experts. OSINT refers to the techniques and tools required to harvest publicly available data concerning a person or an organization. With several years of experience of tracking hackers with OSINT, the author whips up a classical plot-line involving a hunt for a threat actor. While taking the audience through the thrilling investigative drama, the author immerses the audience with in-depth knowledge of state-of-the-art OSINT tools and techniques. Technical users will want a basic understanding of the Linux command line in order to follow the examples. But a person with no Linux or programming experience can still gain a lot from this book through the commentaries.This book’s unique digital investigation proposition is a combination of story-telling, tutorials, and case studies. The book explores digital investigation from multiple angles:* Through the eyes of the author who has several years of experience in the subject.* Through the mind of the hacker who collects massive amounts of data from multiple online sources to identify targets as well as ways to hit the targets.* Through the eyes of industry leaders.This book is ideal for:Investigation professionals, forensic analysts, and CISO/CIO and other executives wanting to understand the mindset of a hacker and how seemingly harmless information can be used to target their organization.Security analysts, forensic investigators, and SOC teams looking for new approaches on digital investigations from the perspective of collecting and parsing publicly available information.CISOs and defense teams will find this book useful because it takes the perspective of infiltrating an organization from the mindset of a hacker. The commentary provided by outside experts will also provide them with ideas to further protect their organization’s data.ABOUT THE AUTHORVINNY TROIA is a cybersecurity evangelist and hacker with Night Lion Security. He is an acknowledged expert in digital forensics investigations, security strategies, and security breach remediation. Vinny possesses deep knowledge of industry-standard security and compliance controls, is frequently seen providing security expertise on major TV and radio networks, and recently introduced Data Viper, his own threat intelligence and cyber-criminal hunting platform. Prologue xxvCHAPTER 1 GETTING STARTED 1Why This Book is Different 2What You Will and Won’t Find in This Book 2Getting to Know Your Fellow Experts 3A Note on Cryptocurrencies 4What You Need to Know 4Paid Tools and Historical Data 5What about Maltego? 5Prerequisites 5Know How to Use and Configure Linux 5Get Your API Keys in Order 6Important Resources 6OSINT Framework 6OSINT.link 6IntelTechniques 7Termbin 8Hunchly 9Wordlists and Generators 9SecLists 9Cewl 10Crunch 10Proxies 10Storm Proxies (Auto-Rotating) 10Cryptocurrencies 101 11How Do Cryptocurrencies Work? 12Blockchain Explorers 13Following the Money 15Identifying Exchanges and Traders 17Summary 18CHAPTER 2 INVESTIGATIONS AND THREAT ACTORS 19The Path of an Investigator 19Go Big or Go Home 20The Breach That Never Happened 21What Would You Do? 22Moral Gray Areas 24Different Investigative Paths 25Investigating Cyber Criminals 26The Beginning of the Hunt (for TDO) 27The Dark Overlord 27List of Victims 28A Brief Overview 29Communication Style 30Group Structure and Members 30Cyper 31Arnie 32Cr00k (Ping) 35NSA (Peace of Mind) 36The Dark Overlord 38Summary 41PART I NETWORK EXPLORATION 43CHAPTER 3 MANUAL NETWORK EXPLORATION 45Chapter Targets: Pepsi.com and Cyper.org 46Asset Discovery 46ARIN Search 47Search Engine Dorks 48DNSDumpster 49Hacker Target 52Shodan 53Censys (Subdomain Finder) 56Censys Subdomain Finder 56Fierce 57Sublist3r 58Enumall 59Results 60Phishing Domains and Typosquatting 61Summary 64CHAPTER 4 LOOKING FOR NETWORK ACTIVITY (ADVANCED NMAP TECHNIQUES) 67Getting Started 67Preparing a List of Active Hosts 68Full Port Scans Using Different Scan Types 68TCP Window Scan 70Working against Firewalls and IDS 70Using Reason Response 71Identifying Live Servers 71Firewall Evasion 73Distributed Scanning with Proxies and TOR 73Fragmented Packets/MTU 74Service Detection Trick 74Low and Slow 76Bad Checksums, Decoy, and Random Data 76Firewalking 79Comparing Results 79Styling NMAP Reports 81Summary 82CHAPTER 5 AUTOMATED TOOLS FOR NETWORK DISCOVERY 83SpiderFoot 84SpiderFoot HX (Premium) 91Intrigue.io 95Entities Tab 96Analyzing uberpeople.net 99Analyzing the Results 104Exporting Your Results 105Recon-NG 107Searching for Modules 111Using Modules 111Looking for Ports with Shodan 115Summary 116PART II WEB EXPLORATION 119CHAPTER 6 WEBSITE INFORMATION GATHERING 121BuiltWith 121Finding Common Sites Using Google Analytics Tracker 123IP History and Related Sites 124Webapp Information Gatherer (WIG) 124CMSMap 129Running a Single Site Scan 130Scanning Multiple Sites in Batch Mode 130Detecting Vulnerabilities 131WPScan 132Dealing with WAFs/WordPress Not Detected 136Summary 141CHAPTER 7 DIRECTORY HUNTING 143Dirhunt 143Wfuzz 146Photon 149Crawling a Website 151Intrigue.io 152Summary 157CHAPTER 8 SEARCH ENGINE DORKS 159Essential Search Dorks 160The Minus Sign 160Using Quotes 160The site: Operator 161The intitle: Operator 161The allintitle: Operator 162The fi letype: Operator 162The inurl: Operator 163The cache: Operator 165The allinurl: Operator 165The fi lename: Operator 165The intext: Operator 165The Power of the Dork 166Don’t Forget about Bing and Yahoo! 169Automated Dorking Tools 169Inurlbr 169Using Inurlbr 171Summary 173CHAPTER 9 WHOIS 175WHOIS 175Uses for WHOIS Data 176Historical WHOIS 177Searching for Similar Domains 177Namedroppers.com 177Searching for Multiple Keywords 179Advanced Searches 181Looking for Threat Actors 182Whoisology 183Advanced Domain Searching 187Worth the Money? Absolutely 188DomainTools 188Domain Search 188Bulk WHOIS 189Reverse IP Lookup 189WHOIS Records on Steroids 190WHOIS History 192The Power of Screenshots 193Digging into WHOIS History 193Looking for Changes in Ownership 194Reverse WHOIS 196Cross-Checking All Information 197Summary 199CHAPTER 10 CERTIFICATE TRANSPARENCY AND INTERNET ARCHIVES 201Certificate Transparency 201What Does Any of This Have to Do with Digital Investigations? 202Scouting with CTFR 202Crt.sh 204CT in Action: Side-stepping Cloudflare 204Testing More Targets 208CloudFlair (Script) and Censys 209How Does It Work? 210Wayback Machine and Search Engine Archives 211Search Engine Caches 212CachedView.com 214Wayback Machine Scraper 214Enum Wayback 215Scraping Wayback with Photon 216Archive.org Site Search URLs 217Wayback Site Digest: A List of Every Site URL Cached by Wayback 219Summary 220CHAPTER 11 IRIS BY DOMAINTOOLS 221The Basics of Iris 221Guided Pivots 223Configuring Your Settings 223Historical Search Setting 224Pivootttt!!! 225Pivoting on SSL Certificate Hashes 227Keeping Notes 228WHOIS History 230Screenshot History 232Hosting History 232Bringing It All Together 234A Major Find 240Summary 241PART III DIGGING FOR GOLD 243CHAPTER 12 DOCUMENT METADATA 245Exiftool 246Metagoofil 248Recon-NG Metadata Modules 250Metacrawler 250Interesting_Files Module 252Pushpin Geolocation Modules 254Intrigue.io 257FOCA 261Starting a Project 262Extracting Metadata 263Summary 266CHAPTER 13 INTERESTING PLACES TO LOOK 267TheHarvester 268Running a Scan 269Paste Sites 273Psbdmp.ws 273Forums 274Investigating Forum History (and TDO) 275Following Breadcrumbs 276Tracing Cyper’s Identity 278Code Repositories 280SearchCode.com 281Searching for Code 282False Negatives 283Gitrob 284Git Commit Logs 287Wiki Sites 288Wikipedia 289Summary 292CHAPTER 14 PUBLICLY ACCESSIBLE DATA STORAGE 293The Exactis Leak and Shodan 294Data Attribution 295Shodan’s Command-Line Options 296Querying Historical Data 296CloudStorageFinder 298Amazon S3 299Digital Ocean Spaces 300NoSQL Databases 301MongoDB 302Robot 3T 302Mongo Command-Line Tools 305Elasticsearch 308Querying Elasticsearch 308Dumping Elasticsearch Data 311NoScrape 311MongoDB 313Elasticsearch 314Scan 314Search 315Dump 317MatchDump 317Cassandra 318Amazon S3 320Using Your Own S3 Credentials 320Summary 321PART IV PEOPLE HUNTING 323CHAPTER 15 RESEARCHING PEOPLE, IMAGES, AND LOCATIONS 325PIPL 326Searching for People 327Public Records and Background Checks 330Ancestry.com 331Threat Actors Have Dads, Too 332Criminal Record Searches 332Image Searching 333Google Images 334Searching for Gold 335Following the Trail 335TinEye 336EagleEye 340Searching for Images 340Cree.py and Geolocation 343Getting Started 343IP Address Tracking 346Summary 347CHAPTER 16 SEARCHING SOCIAL MEDIA 349OSINT.rest 350Another Test Subject 355Twitter 357SocialLinks: For Maltego Users 358Skiptracer 361Running a Search 361Searching for an Email Address 361Searching for a Phone Number 364Searching Usernames 366One More Username Search 368Userrecon 370Reddit Investigator 372A Critical “Peace” of the TDO Investigation 374Summary 375CHAPTER 17 PROFILE TRACKING AND PASSWORD RESET CLUES 377Where to Start (with TDO)? 377Building a Profile Matrix 378Starting a Search with Forums 379Ban Lists 381Social Engineering 381SE’ing Threat Actors: The “Argon” Story 383Everyone Gets SE’d—a Lesson Learned 387The End of TDO and the KickAss Forum 388Using Password Reset Clues 390Starting Your Verification Sheet 391Gmail 391Facebook 393PayPal 394Twitter 397Microsoft 399Instagram 400Using jQuery Website Responses 400ICQ 403Summary 405CHAPTER 18 PASSWORDS, DUMPS, AND DATA VIPER 407Using Passwords 408Completing F3ttywap’s Profile Matrix 409An Important Wrong Turn 412Acquiring Your Data 413Data Quality and Collections 1–5 413Always Manually Verify the Data 415Where to Find Quality Data 420Data Viper 420Forums: The Missing Link 421Identifying the Real “Cr00k” 422Tracking Cr00k’s Forum Movements 423Timeline Analysis 423The Eureka Moment 427Vanity over OPSEC, Every Time 429Why This Connection is Significant 429Starting Small: Data Viper 1.0 430Summary 431CHAPTER 19 INTERACTING WITH THREAT ACTORS 433Drawing Them Out of the Shadows 433Who is WhitePacket? 434The Bev Robb Connection 435Stradinatras 436Obfuscation and TDO 437Who is Bill? 439So Who Exactly is Bill? 440YoungBugsThug 440How Did I Know It Was Chris? 441A Connection to Mirai Botnet? 442Why Was This Discovery So Earth-Shattering? 444Question Everything! 445Establishing a Flow of Information 446Leveraging Hacker Drama 447Was Any of That Real? 448Looking for Other Clues 449Bringing It Back to TDO 450Resolving One Final Question 451Withdrawing Bitcoin 451Summary 452CHAPTER 20 CUTTING THROUGH THE DISINFORMATION OF A 10-MILLION-DOLLAR HACK 453GnosticPlayers 454Sites Hacked by GnosticPlayers 456Gnostic’s Hacking Techniques 457GnosticPlayers’ Posts 459GnosticPlayers2 Emerges 461A Mysterious Third Member 462NSFW/Photon 463The Gloves Come Off 464Making Contact 465Gabriel/Bildstein aka Kuroi’sh 465Contacting His Friends 467Weeding through Disinformation 468Verifying with Wayback 468Bringing It All Together 469Data Viper 469Trust but Verify 472Domain Tools’ Iris 474Verifying with a Second Data Source 475The End of the Line 476What Really Happened? 476Outofreach 476Kuroi’sh Magically Appears 477What I Learned from Watching Lost 477Who Hacked GateHub? 478Unraveling the Lie 479Was Gabriel Involved? My Theory 479Gabriel is Nclay: An Alternate Theory 479All roads lead back to NSFW 480Summary 481Epilogue 483Index 487
CompTIA Cloud Essentials+ Study Guide
PREPARE FOR SUCCESS ON THE NEW CLOUD ESSENTIALS+ EXAM (CLO-002)The latest title in the popular Sybex Study Guide series, CompTIA Cloud Essentials+ Study Guide helps candidates prepare for taking the NEW CompTIA Cloud Essentials+ Exam (CLO-002). Ideal for non-technical professionals in IT environments, such as marketers, sales people, and business analysts, this guide introduces cloud technologies at a foundational level. This book is also an excellent resource for those with little previous knowledge of cloud computing who are looking to start their careers as cloud administrators.The book covers all the topics needed to succeed on the Cloud Essentials+ exam and provides knowledge and skills that any cloud computing professional will need to be familiar with. This skill set is in high demand, and excellent careers await in the field of cloud computing.* Gets you up to speed on fundamental cloud computing concepts and technologies* Prepares IT professionals and those new to the cloud for the CompTIA Cloud Essentials+ exam objectives* Provides practical information on making decisions about cloud technologies and their business impact* Helps candidates evaluate business use cases, financial impacts, cloud technologies, and deployment models* Examines various models for cloud computing implementation, including public and private clouds* Identifies strategies for implementation on tight budgetsInside is everything candidates need to know about cloud concepts, the business principles of cloud environments, management and technical operations, cloud security, and more. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, electronic flashcards, and a glossary of key terms.ABOUT THE AUTHORS QUENTIN DOCTER, CLOUD ESSENTIALS+, A+, NETWORK+, IT FUNDAMENTALS+, MCSE, CNE, CCNA, SCSA, is an IT consultant and author who started in the industry in 1994. Since then, he's worked as a tech and network support specialist, trainer, consultant, and web developer. CORY FUCHS, CLOUD ESSENTIALS+, A+, NETWORK+, MCSE, CCNA, RHNA, AWS CP, AWS SAA, AWS SAPRO, is a Cloud Architect working for several Fortune 500 companies. He has worked in IT for over 25 years as a systems administrator, network engineer, trainer, and consultant.Introduction xixAssessment Test xxvCHAPTER 1 CLOUD PRINCIPLES AND DESIGN 1Understanding Cloud Principles 2Virtualization 5Service Models 9Deployment Models 16Cloud Characteristics 17Shared Responsibility Model 19Exploring Cloud Design 21Redundancy and High Availability 22Disaster Recovery 25Summary 27Exam Essentials 27Written Lab 29Review Questions 30CHAPTER 2 CLOUD NETWORKING AND STORAGE 35Understanding Cloud Networking Concepts 36Networking: A Quick Primer 37Connecting to the Cloud 39Cloud Networking Services 47Understanding Cloud Storage Technologies 57How Cloud Storage Works 57Cloud-Based Storage Providers 59Cloud Storage Terminology 59Content Delivery Networks 68Summary 70Exam Essentials 70Written Lab 72Review Questions 73CHAPTER 3 ASSESSING CLOUD NEEDS 77Using Cloud Assessments 79Gathering Current and Future Requirements 80Using Baselines 85Running a Feasibility Study 86Conducting a Gap Analysis 86Using Reporting 88Understanding Benchmarks 88Creating Documentation and Diagrams 89Understanding Cloud Services 91Identity Access Management 91Cloud-Native Applications 95Data Analytics 97Digital Marketing 100Autonomous Environments 103Internet of Things 104Blockchain 110Subscription Services 113Collaboration 114VDI 115Self-Service 117Summary 118Exam Essentials 118Written Lab 121Review Questions 122CHAPTER 4 ENGAGING CLOUD VENDORS 127Understanding Business and Financial Concepts 129Expenditures and Costs 129Licensing Models 132Human Capital 135Professional Services 136Finding and Evaluating Cloud Vendors 138Gathering Information 138Performing Evaluations 144Negotiating Contracts and Billing 146Choosing a Migration Approach 150Migration Principles 150Lift and Shift 152Rip and Replace 153Hybrid and Phased Migrations 153Summary 154Exam Essentials 155Written Lab 156Review Questions 158CHAPTER 5 MANAGEMENT AND TECHNICAL OPERATIONS 163Explain Aspects of Operating within the Cloud 166Data Management 166Availability 169Disposable Resources 173Monitoring and Visibility 175Optimization 176Explain DevOps in Cloud Environments 180Provisioning 182Continuous Integration/Continuous Delivery 185Testing in QA Environments 186Configuration Management 188API Integration 193Financial Planning of Cloud Resources 194Storage 194Network 197Compute 198Chargebacks 199Maintenance 200Instances 201Licensing Types 204License Quantity 206Summary 207Exam Essentials 207Written Lab 210Review Questions 211CHAPTER 6 GOVERNANCE AND RISK 215Recognize Risk Management Concepts Related to Cloud Services 217Risk Assessment 219Risk Response 225Documentation 227Vendor Lock-in 230Data Portability 231Explain Policies or Procedures 233Standard Operating Procedures 234Change Management 235Resource Management 237Security Policies 238Access and Control Policies 240Department-Specific Policies 242Communication Policies 243Summary 244Exam Essentials 245Written Lab 246Review Questions 248CHAPTER 7 COMPLIANCE AND SECURITY IN THE CLOUD 253Identify the Importance and Impacts of Compliance in the Cloud 255Data Sovereignty 256Regulatory Concerns 258Industry-Based Requirements 260International Standards 265Certifications 269Explain Security Concerns, Measures, or Concepts of Cloud Operations 270Threat 270Vulnerability 272Security Assessments 273Data Security 278Application and Infrastructure Security 290Summary 293Exam Essentials 294Written Lab 296Review Questions 298APPENDIX A ANSWERS TO WRITTEN LABS 303Chapter 1: Cloud Principles and Design 304Chapter 2: Cloud Networking and Storage 304Chapter 3: Assessing Cloud Needs 304Chapter 4: Engaging Cloud Vendors 305Chapter 5: Management and Technical Operations 305Chapter 6: Governance and Risk 306Chapter 7: Compliance and Security in the Cloud 306APPENDIX B ANSWERS TO REVIEW QUESTIONS 307Chapter 1: Cloud Principles and Design 308Chapter 2: Cloud Networking and Storage 310Chapter 3: Assessing Cloud Needs 312Chapter 4: Engaging Cloud Vendors 315Chapter 5: Management and Technical Operations 317Chapter 6: Governance and Risk 319Chapter 7: Compliance and Security in the Cloud 321Index 323
Agile Werte leben
Mit Improvisationstheater zu mehr Selbstorganisation und ZusammenarbeitWas hat Improvisationstheater mit Agilität zu tun? Eine ganze Menge! Denn Agilität ist mehr als Kanban-Kärtchen durch die Gegend schieben, Planning Poker spielen und einen Scrum-Sprint zu planen.Agile Werte und die aus ihnen abgeleiteten Prinzipien in der täglichen Arbeit von Teams oder gar ganzen Organisationen zu verankern, ist keine einfache Aufgabe. Denn oft scheinen diese zu abstrakt und wenig alltagsnah. Und gerade bei verteilten Teams ist es schwierig diese umzusetzen.Robert Wiechmann und Laura Paradiek zeigen Übungen und Techniken aus dem Improvisationstheater, die helfen diese Werte greifbar und erfahrbar zu machen. Hollywoodreife Schauspielkünste sind dafür nicht nötig. Denn im Impro geht es darum, gemeinsam Ideen zu entwickeln, aufeinander zu achten, zusammenzuarbeiten, miteinander zu kommunizieren und aufeinander zu zählen. Auch wenn man sich nur per Kamera sieht.Die Spanne reicht von ganz einfachen bis zu komplizierteren Übungen, damit sich jeder zutraut, mitzumachen. Aha-Momente und ein besseres Verständnis der agilen Werte sind vorprogrammiert.Dieses Buch ...führt in agile Werte ein und erklärt, warum diese so wichtig sind.zeigt, was Improtheater eigentlich ist und warum es agilen Teams und Organisationen helfen kann.gibt übersichtlich und strukturiert Improübungen an die Hand.Über den Autor:Diplom-Kaufmann Robert Wiechmann unterstützt mit Herzblut Organisationen bei ihrer agilen Transition. Neben dem Aufbau und der Beratung von Scrum- und Kanban-Teams in der Softwareentwicklung lässt er auch alle weiteren Unternehmensbereiche nicht aus dem Auge. Er hat Freude daran, Teams jeglicher Fasson zu einer Einheit zusammenzuschweißen und sich dabei ständig weiterzuentwickeln. Die Basis seiner Arbeit baut auf Respekt, Vertrauen sowie Wertschätzung auf. Wichtig ist ihm das Zusammenspiel von Zielorientierung, Klarheit, Einfachheit, Selbstverantwortung, Kreativität und Spaß. Sein Mut, offen auch unbequeme Dinge anzusprechen, lässt die Arbeit mit ihm praxisorientiert und auf Augenhöhe sein. Seine Arbeit als Agiler Coach ist von Kreativität geprägt und scheut auch nicht die Beschreitung neuer Wege.Laura Paradiek ist Kommunikationsfachfrau, Schauspielerin und ausgebildete Business-Trainerin. Nach ihrem Studium der Gesellschafts- und Wirtschaftskommunikation in Berlin führte sie ihr Weg in viele kleine und große Unternehmen. Ob in der Kommunikationsplanung, Veranstaltungsorganisation oder dem Management von Webprojekten – agile Projektmanagementmethoden sind ihr A und O. Neben Scrum und Kanban setzt sie auf Methoden aus dem Improvisationstheater und der Visualisierung. Seit sie 12 Jahre alt ist, steht sie auf der Bühne, u. a. mit der Theater Jugend Hamburg, dem Maxim Gorki Theater in Berlin oder der Hamburger Improvisationstheatergruppe SchillerKiller.
Mit grünen Informationssystemen ineffektive Datentransfers vermeiden. Ein Ansatz zur Nachhaltigkeit in Unternehmen
Um heute wettbewerbsfähig zu bleiben, müssen Unternehmen ihren Mitarbeitern eine Vielzahl von Informationen zur Verfügung stellen. Häufig werden dabei auch viele irrelevante oder veraltete Daten übermittelt, sodass die Mitarbeiter die Suche nach den wichtigen Informationen als ineffektiv empfinden. Gleichzeitig kostet jeder Datentransfer Energie.Welche ökologischen Auswirkungen haben der Abruf und die Übertragung von unnützen Daten? Wie kann eine benutzerzentrierte Ausrichtung der Informationsbereitstellung Energie einsparen? Inwiefern unterscheidet sich ein „Green Knowledge Managementsystem“ von einem „traditionellen“ Wissensmanagementsystem?Nathalie Serban stellt ein „grünes“ Informationssystem vor. Hiermit können Unternehmen mehr Transparenz über Ansprechpartner, Zuständigkeiten, Informationen und Projekte im Aufgabenbereich des jeweiligen Mitarbeiters schaffen und somit irrelevante Datentransfers vermeiden. Ihr Buch richtet sich an Manager, Führungskräfte und IT-Beauftragte.Aus dem Inhalt:- Wissensmanagement;- Umwelt;- CO2;- Ökologie;- E-Mail;- Wettbewerb
Advances in Data Science
PART 1. SYMBOLIC DATA 1CHAPTER 1. EXPLANATORY TOOLS FOR MACHINE LEARNING IN THE SYMBOLIC DATA ANALYSIS FRAMEWORK 3Edwin DIDAY1.1. Introduction 41.2. Introduction to Symbolic Data Analysis 61.2.1. What are complex data? 61.2.2. What are “classes” and “class of complex data”? 71.2.3. Which kind of class variability? 71.2.4. What are “symbolic variables” and “symbolic data tables”? 71.2.5. Symbolic Data Analysis (SDA) 91.3. Symbolic data tables from Dynamic Clustering Method and EM 101.3.1. The “dynamical clustering method” (DCM) 101.3.2. Examples of DCM applications 101.3.3. Clustering methods by mixture decomposition 121.3.4. Symbolic data tables from clustering 131.3.5. A general way to compare results of clustering methods by the “explanatory power” of their associated symbolic data table 151.3.6. Quality criteria of classes and variables based on the cells of the symbolic data table containing intervals or inferred distributions 151.4. Criteria for ranking individuals, classes and their bar chart descriptive symbolic variables 161.4.1. A theoretical framework for SDA 161.4.2. Characterization of a category and a class by a measure of discordance 181.4.3. Link between a characterization by the criteria W and the standard Tf-Idf 191.4.4. Ranking the individuals, the symbolic variables and the classes of a bar chart symbolic data table 211.5. Two directions of research 231.5.1. Parametrization of concordance and discordance criteria 231.5.2. Improving the explanatory power of any machine learning tool by a filtering process 251.6. Conclusion 271.7. References 28CHAPTER 2. LIKELIHOOD IN THE SYMBOLIC CONTEXT 31Richard EMILION and Edwin DIDAY2.1. Introduction 312.2. Probabilistic setting 322.2.1. Description variable and class variable 322.2.2. Conditional distributions 332.2.3. Symbolic variables 332.2.4. Examples 352.2.5. Probability measures on (ℂ, C), likelihood 372.3. Parametric models for p = 1 382.3.1. LDA model 382.3.2. BLS method 412.3.3. Interval-valued variables 422.3.4. Probability vectors and histogram-valued variables 422.4. Nonparametric estimation for p = 1 452.4.1. Multihistograms and multivariate polygons 452.4.2. Dirichlet kernel mixtures 452.4.3. Dirichlet Process Mixture (DPM) 452.5. Density models for p ≥ 2 462.6. Conclusion 462.7. References 47CHAPTER 3. DIMENSION REDUCTION AND VISUALIZATION OF SYMBOLIC INTERVAL-VALUED DATA USING SLICED INVERSE REGRESSION 49Han-Ming WU, Chiun-How KAO and Chun-houh CHEN3.1. Introduction 493.2. PCA for interval-valued data and the sliced inverse regression 513.2.1. PCA for interval-valued data 513.2.2. Classic SIR 523.3. SIR for interval-valued data 533.3.1. Quantification approaches 543.3.2. Distributional approaches 563.4. Projections and visualization in DR subspace 583.4.1. Linear combinations of intervals 583.4.2. The graphical representation of the projected intervals in the 2D DR subspace 593.5. Some computational issues 613.5.1. Standardization of interval-valued data 613.5.2. The slicing schemes for iSIR 623.5.3. The evaluation of DR components 623.6. Simulation studies 633.6.1. Scenario 1: aggregated data 633.6.2. Scenario 2: data based on interval arithmetic 633.6.3. Results 643.7. A real data example: face recognition data 653.8. Conclusion and discussion 733.9. References 74CHAPTER 4. ON THE “COMPLEXITY” OF SOCIAL REALITY. SOME REFLECTIONS ABOUT THE USE OF SYMBOLIC DATA ANALYSIS IN SOCIAL SCIENCES 79Frédéric LEBARON4.1. Introduction 794.2. Social sciences facing “complexity” 804.2.1. The total social fact, a designation of “complexity” in social sciences 804.2.2. Two families of answers 804.2.3. The contemporary deepening of the two approaches, “reductionist” and “encompassing” 814.2.4. Issues of scale and heterogeneity 824.3. Symbolic data analysis in the social sciences: an example 834.3.1. Symbolic data analysis 834.3.2. An exploratory case study on European data 834.3.3. A sociological interpretation 944.4. Conclusion 954.5. References 96PART 2. COMPLEX DATA 99CHAPTER 5. A SPATIAL DEPENDENCE MEASURE AND PREDICTION OF GEOREFERENCED DATA STREAMS SUMMARIZED BY HISTOGRAMS 101Rosanna VERDE and Antonio BALZANELLA5.1. Introduction 1015.2. Processing setup 1035.3. Main definitions 1045.4. Online summarization of a data stream through CluStream for Histogram data 1065.5. Spatial dependence monitoring: a variogram for histogram data 1075.6. Ordinary kriging for histogram data 1105.7. Experimental results on real data 1125.8. Conclusion 1165.9. References 116CHAPTER 6. INCREMENTAL CALCULATION FRAMEWORK FOR COMPLEX DATA 119Huiwen WANG, Yuan WEI and Siyang WANG6.1. Introduction 1196.2. Basic data 1226.2.1. The basic data space 1226.2.2. Sample covariance matrix 1236.3. Incremental calculation of complex data 1246.3.1. Transformation of complex data 1246.3.2. Online decomposition of covariance matrix 1256.3.3. Adopted algorithms 1286.4. Simulation studies 1316.4.1. Functional linear regression 1316.4.2. Compositional PCA 1336.5. Conclusion 1356.6. Acknowledgment 1356.7. References 135PART 3. NETWORK DATA 139CHAPTER 7. RECOMMENDER SYSTEMS AND ATTRIBUTED NETWORKS 141Françoise FOGELMAN-SOULIÉ, Lanxiang MEI, Jianyu ZHANG, Yiming LI, Wen GE, Yinglan LI and Qiaofei YE7.1. Introduction 1417.2. Recommender systems 1427.2.1. Data used 1437.2.2. Model-based collaborative filtering 1457.2.3. Neighborhood-based collaborative filtering 1457.2.4. Hybrid models 1487.3. Social networks 1507.3.1. Non-independence 1507.3.2. Definition of a social network 1507.3.3. Properties of social networks 1517.3.4. Bipartite networks 1527.3.5. Multilayer networks 1537.4. Using social networks for recommendation 1547.4.1. Social filtering 1547.4.2. Extension to use attributes 1557.4.3. Remarks 1567.5. Experiments 1567.5.1. Performance evaluation 1567.5.2. Datasets 1577.5.3. Analysis of one-mode projected networks 1587.5.4. Models evaluated 1607.5.5. Results 1607.6. Perspectives 1637.7. References 163CHAPTER 8. ATTRIBUTED NETWORKS PARTITIONING BASED ON MODULARITY OPTIMIZATION 169David COMBE, Christine LARGERON, Baptiste JEUDY, Françoise FOGELMAN-SOULIÉ and Jing WANG8.1. Introduction 1698.2. Related work 1718.3. Inertia based modularity 1728.4. I-Louvain 1748.5. Incremental computation of the modularity gain 1768.6. Evaluation of I-Louvain method 1798.6.1. Performance of I-Louvain on artificial datasets 1798.6.2. Run-time of I-Louvain 1808.7. Conclusion 1818.8. References 182PART 4. CLUSTERING 187CHAPTER 9. A NOVEL CLUSTERING METHOD WITH AUTOMATIC WEIGHTING OF TABLES AND VARIABLES 189Rodrigo C. DE ARAÚJO, Francisco DE ASSIS TENORIO DE CARVALHO and Yves LECHEVALLIER9.1. Introduction 1899.2. Related Work 1909.3. Definitions, notations and objective 1919.3.1. Choice of distances 1929.3.2. Criterion W measures the homogeneity of the partition P on the set of tables 1939.3.3. Optimization of the criterion W 1959.4. Hard clustering with automated weighting of tables and variables 1969.4.1. Clustering algorithms MND–W and MND–WT 1969.5. Applications: UCI data sets 2019.5.1. Application I: Iris plant 2019.5.2. Application II: multi-features dataset 2049.6. Conclusion 2069.7. References 206CHAPTER 10. CLUSTERING AND GENERALIZED ANOVA FOR SYMBOLIC DATA CONSTRUCTED FROM OPEN DATA 209Simona KORENJAK-ČERNE, Nataša KEJ?AR and Vladimir BATAGELJ10.1. Introduction 20910.2. Data description based on discrete (membership) distributions 21010.3. Clustering 21210.3.1. TIMSS – study of teaching approaches 21510.3.2. Clustering countries based on age–sex distributions of their populations 21710.4. Generalized ANOVA 22110.5. Conclusion 22510.6. References 226List of Authors 229Index 233
CCNA Certification Study Guide, Volume 2
CISCO EXPERT TODD LAMMLE PREPARES YOU FOR THE NEW CISCO CCNA CERTIFICATION EXAM!Cisco, the world leader in network technologies, has released the new Cisco Certified Network Associate (CCNA) exam. This consolidated certification exam tests a candidate’s ability to implement and administer a wide range of modern IT networking technologies. The CCNA Certification Study Guide: Volume 2 Exam 200-301 covers every exam objective, including network components, IP connectivity and routing, network security, virtual networking, and much more. Clear and accurate chapters provide you with real-world examples, hands-on activities, in-depth explanations, and numerous review questions to ensure that you’re fully prepared on exam day.Written by the leading expert on Cisco technologies and certifications, this comprehensive exam guide includes access to the acclaimed Sybex online learning system—an interactive environment featuring practice exams, electronic flashcards, a searchable glossary, a self-assessment test, and video tutorials on critical Cisco networking concepts and technologies.* Covers 100% of all CCNA Exam 200-301 objectives* Provides accurate and up-to-date information on core network fundamentals* Explains a broad range of Cisco networking and IT infrastructure* Features learning objectives, chapter summaries, ‘Exam Essentials’ and figures, tables, and illustrationsThe CCNA Certification Study Guide: Volume 2 Exam 200-301 is the ideal resource for those preparing for the new CCNA certification, as well as IT professionals looking to learn more about Cisco networking concepts and technologies.TODD LAMMLE, Cisco certified in almost every category, is the authority on Cisco networking and certification. His three decades of real-world experience is prevalent in his writing. He is an experienced networking engineer with very practical experience working on the largest bounded and unbounded networks in the world at such companies as Xerox, Hughes Aircraft, Texaco, AAA, Cisco, and Toshiba, among many others. Todd has published over 60 books, including the very popular and bestselling CCNA Cisco Certified Network Associate Study Guide and Cisco Firepower NGIPS. Todd runs an international training company from Texas, and a large-scale consulting business out of Colorado. You can reach Todd through his forum and blog at www.lammle.com/ccna.Introduction xxvAssessment Test xlCHAPTER 1 NETWORK FUNDAMENTALS 1Network Components 2Next-Generation Firewalls and IPS 6Network Topology Architectures 10Physical Interfaces and Cables 17Ethernet Cabling 19Summary 24Exam Essentials 24Review Questions 26CHAPTER 2 TCP/IP 29Introducing TCP/IP 30TCP/IP and the DoD Model 31IP Addressing 60IPv4 Address Types 67Summary 71Exam Essentials 71Review Questions 73CHAPTER 3 EASY SUBNETTING 75Subnetting Basics 76Summary 102Exam Essentials 102Review Questions 103CHAPTER 4 TROUBLESHOOTING IP ADDRESSING 105Cisco’s Way of Troubleshooting IP 106Summary 114Exam Essentials 114Review Questions 115CHAPTER 5 IP ROUTING 117Routing Basics 119The IP Routing Process 121Configuring IP Routing 132Configuring IP Routing in Our Network 141Dynamic Routing 150Routing Information Protocol (RIP) 152Summary 159Exam Essentials 159Review Questions 161CHAPTER 6 OPEN SHORTEST PATH FIRST (OSPF) 163Open Shortest Path First (OSPF) Basics 164Configuring OSPF 171OSPF and Loopback Interfaces 179Verifying OSPF Configuration 182Summary 188Exam Essentials 188Review Questions 189CHAPTER 7 LAYER 2 SWITCHING 193Switching Services 194Configuring Catalyst Switches 204Summary 215Exam Essentials 215Review Questions 216CHAPTER 8 VLANS AND INTER-VLAN ROUTING 219VLAN Basics 220Identifying VLANs 224Routing Between VLANs 229Configuring VLANs 231Summary 247Exam Essentials 247Review Questions 248CHAPTER 9 ENHANCED SWITCHED TECHNOLOGIES 251Spanning Tree Protocol (STP) 252Types of Spanning-Tree Protocols 259Modifying and Verifying the Bridge ID 267Spanning-Tree Failure Consequences 273PortFast and BPDU Guard 275EtherChannel 278Summary 284Exam Essentials 284Review Questions 285CHAPTER 10 ACCESS LISTS 289Perimeter, Firewall, and Internal Routers 290Introduction to Access Lists 291Standard Access Lists 295Extended Access Lists 303Monitoring Access Lists 313Summary 316Exam Essentials 316Review Questions 317CHAPTER 11 NETWORK ADDRESS TRANSLATION (NAT) 319When Do We Use NAT? 320Types of Network Address Translation 322NAT Names 322How NAT Works 323Testing and Troubleshooting NAT 328Summary 333Exam Essentials 333Review Questions 334CHAPTER 12 IP SERVICES 337Exploring Connected Devices Using CDP and LLDP 338Network Time Protocol (NTP) 347SNMP 348Syslog 352Secure Shell (SSH) 357Summary 358Exam Essentials 358Review Questions 360CHAPTER 13 SECURITY 363Network Security Threats 365Three Primary Network Attacks 365Network Attacks 366Security Program Elements 374Layer 2 Security Features 378Authentication Methods 381Managing User Accounts 386Security Password Policy Elements 389User-Authentication Methods 398Setting Passwords 400Summary 407Exam Essentials 407Review Questions 408CHAPTER 14 FIRST HOP REDUNDANCY PROTOCOL (HSRP) 411Client Redundancy Issues 412Introducing First Hop Redundancy Protocol (FHRP) 414Hot Standby Router Protocol (HSRP) 416Summary 429Exam Essentials 429Review Questions 430CHAPTER 15 VIRTUAL PRIVATE NETWORKS (VPNS) 433Virtual Private Networks 434GRE Tunnels 441Summary 447Exam Essentials 447Review Questions 448CHAPTER 16 QUALITY OF SERVICE (QOS) 451Quality of Service 452Trust Boundary 454QoS Mechanisms 455Summary 461Exam Essentials 461Review Questions 462CHAPTER 17 INTERNET PROTOCOL VERSION 6 (IPV6) 465Why Do We Need IPv6? 467The Benefits and Uses of IPv6 467IPv6 Addressing and Expressions 469How IPv6 Works in an Internetwork 473IPv6 Routing Protocols 483Configuring IPv6 on Our Internetwork 484Configuring Routing on Our Internetwork 487Summary 490Exam Essentials 490Review Questions 492CHAPTER 18 TROUBLESHOOTING IP, IPV6, AND VLANS 495Endpoints 496Servers 497IP Config 498Troubleshooting IP Network Connectivity 507Troubleshooting IPv6 Network Connectivity 522Troubleshooting VLAN Connectivity 531Summary 544Exam Essentials 545Review Questions 546CHAPTER 19 WIRELESS TECHNOLOGIES 549Wireless Networks 551Basic Wireless Devices 553Wireless Principles 556Nonoverlapping Wi-Fi channels 565Radio Frequency (RF) 569Wireless Security 581Summary 588Exam Essentials 588Review Question 590CHAPTER 20 CONFIGURING WIRELESS TECHNOLOGIES 595WLAN Deployment Models 596Setting Up a Wireless LAN Controller (WLC) 602Joining Access Points (APs) 607Wireless LAN Controllers (WLC) 610WLC Port Types 611WLC Interface Types 614AP Modes 629AP and WLC Management Access Connections 633Summary 655Exam Essentials 655Review Questions 657CHAPTER 21 VIRTUALIZATION, AUTOMATION, AND PROGRAMMABILITY 661Virtual Machine Fundamentals 662Virtualization Components 665Virtualization Features 666Virtualization Types 668Virtualization Solutions 669Automation Components 670Summary 684Exam Essentials 684Review Questions 685CHAPTER 22 SDN CONTROLLERS 689Traditional Network Monitoring Systems (NMS) 690Traditional Network Configuration Managers (NCM) 699Traditional Networking 702Introduction to SDN 706Separating the Control Plane 709Controller-Based Architectures 710SDN Network Components 712DNA Center Overview 718Summary 736Exam Essentials 737Review Questions 738CHAPTER 23 CONFIGURATION MANAGEMENT 743Team Silos 744DevOps 748Infrastructure as Code (IaC) 748Ansible 750Ansible Tower/AWX 763Puppet 764Chef 772Summary 781Exam Essentials 782Review Questions 783APPENDIX ANSWER TO REVIEW QUESTIONS 787Chapter 1: Network Fundamentals 788Chapter 2: TCP/IP 788Chapter 3: Easy Subnetting 789Chapter 4: Troubleshooting IP Addressing 790Chapter 5: IP Routing 791Chapter 6: Open Shortest Path First (OSPF) 792Chapter 7: Layer 2 Switching 792Chapter 8: VLANs and Inter-VLAN Routing 794Chapter 9: Enhanced Switched Technologies 795Chapter 10: Access Lists 796Chapter 11: Network Address Translation (NAT) 797Chapter 12: IP Services 797Chapter 13: Security 798Chapter 14: First Hop Redundancy Protocol (HSRP) 799Chapter 15: Virtual Private Networks (VPNs) 800Chapter 16: Quality of Service (QoS) 801Chapter 17: Internet Protocol Version 6 (IPv6) 802Chapter 18: Troubleshooting IP, IPv6, and VLANs 803Chapter 19: Wireless Technologies 803Chapter 20: Configuring Wireless Technologies 805Chapter 21: Virtualization, Automation, and Programmability 806Chapter 22: SDN Controllers 806Chapter 23: Configuration Management 808Index 809
Produkt-Entwicklung
PRODUKTENTWICKLUNG LEAN & AGILE //- Hier erfahren Sie, wie Sie agile Ansätze erfolgreich bei der Entwicklung von physischen Produkten einsetzen können.- Sie lernen die Grundlagen des Lean Development kennen, mit dem Sie Ihren eigenen Weg zur Verbesserung Ihrer Abläufe finden.- Sie profitieren von der Praxiserfahrung des Autors und vielen Beispielen aus der agilen Entwicklung von Mechanik- und Elektronikprodukten.- Zusätzlich: Impulse für Lean / Agil in der Organisationsentwicklung- Sonderkapitel: Compliance am Beispiel ISO26262 und Automotive SPICE®Scrum, Kanban und Co sind längst aus der Welt der Softwareentwicklung ausgebrochen: Von Nockenwellen über Maschinen und Halbleiter bis hin zu Flugzeugen – immer mehr Unternehmen profitieren von Konzepten wie Lean Development oder agile Produktentwicklung.Dieses Buch stellt dar, wie Lean Development und agile Ansätze zur Entwicklung von physischen Produkten erfolgreich eingesetzt werden können.Aus Sicht des Engineering liegt dabei der Fokus auf der Definition des Produkt-Inkrements, agilen Systemarchitekturen und neuen Technologien. Als Praxishandbuch zeigt es Vorgehen und Beispiele für die ersten Schritte: Welche Trainings und Workshops bereiten die Organisation für den Start vor? Wie läuft ein agiles Entwicklungsvorhaben ab?Verschiedene Ansätze zur Umsetzung über die Team-Ebene hinaus sowie viele Praxistipps runden dieses Werk ab.AUS DEM INHALT //- Teil I: GrundlagenMotivation für Lean/Agil // Lean Production // Engpasstheorie // Lean Development // Scrum // Kanban // Menschen und Teams- Teil II: HerausforderungenDefinition des Produkt- Inkrements // Vergleich zu Inkrementen bei der Software // Reduzierung von Zykluszeiten // Management und Leadership // PEP und Unterstützungsprozesse // Prozessreifegradmodelle / Funktionale Sicherheit- Teil III: UmsetzungAuswahl des Konzepts // Scrum-Teams // Kanban- Teams // Umsetzung auf Wertstromebene // Planen und Verfolgen // Schnittstellen zu Kunden und Lieferanten // Lernen auf Team und Organisationsebene // Portfolio Management // Einladungsbasierte Organisationsentwicklung Joachim Pfeffer ist Unternehmensberater und agiler Coach. Nach über zehn Jahren in der Produktentwicklung (Software, Elektronik, Mechanik) und sechs Jahren Beratungspraxis in Entwicklungs- und Dienstleistungsprozessen beschäftigt sich Joachim Pfeffer heute hauptsächlich mit der Einführung von Lean/Agile in der Embedded- und Mechanik-Entwicklung sowie in administrativen Prozessen. Sein besonderes Augenmerk liegt dabei auf der ökonomischen Optimierung von Entwicklungsprojekten. Als Inhaber einer Berufspilotenlizenz überträgt Joachim Pfeffer Teamkonzepte aus der Luftfahrt auf Management und Entwicklungsteams. Er kommt aus Wangen im Allgäu.
Architecting Enterprise Blockchain Solutions
DEMYSTIFY ARCHITECTING COMPLEX BLOCKCHAIN APPLICATIONS IN ENTERPRISE ENVIRONMENTSArchitecting Enterprise Blockchain Solutions helps engineers and IT administrators understand how to architect complex blockchain applications in enterprise environments. The book takes a deep dive into the intricacies of supporting and securing blockchain technology, creating and implementing decentralized applications, and incorporating blockchain into an existing enterprise IT infrastructure.Blockchain is a technology that is experiencing massive growth in many facets of business and the enterprise. Most books around blockchain primarily deal with how blockchains are related to cryptocurrency or focus on pure blockchain development. This book teaches what blockchain technology is and offers insights into its current and future uses in high performance networks and complex ecosystems.* Provides a practical, hands-on approach* Demonstrates the power and flexibility of enterprise blockchains such as Hyperledger and R3 Corda* Explores how blockchain can be used to solve complex IT support and infrastructure problems* Offers numerous hands-on examples and diagramsGet ready to learn how to harness the power and flexibility of enterprise blockchains!JOSEPH HOLBROOK is an expert on enterprise cloud and blockchain architectures, a widely published course author, and owner of the online learning platform myblockchainexperts.com. Joe is a Certified Bitcoin Professional (CBP), Certified Blockchain Solutions Architect (CBSA), and holds industry certifications from Amazon Web Services, Google Cloud Platform, Brocade, CompTIA, Blockchain Training Alliance, and numerous others. He has worked for companies such as HDS, 3PAR Data, Brocade, Northrup Grumman, Siemens Nixdorf, and Hitachi Data Systems. Foreword xxiIntroduction xxiiiCHAPTER 1 INTRODUCTION TO BLOCKCHAIN TECHNOLOGIES 1What is a Blockchain? 2My Approach to the Definition3Technical Audience 3Business Audience 3Legal Audience 5Three Definitions of Blockchain 5History of Blockchains 5Blockchain vs Traditional Database 9Distribution of Trust 10Consensus and Trust 10Summary of Differences Between Ledgers and Traditional Databases 10Cap Theorem 12Common Properties of Permissionless Blockchains 13Why the Blockchain is Considered Revolutionary 15Blockchain Principles 15Trust or Trustless 16Transparency and Blockchain 18Blockchain Transaction Basics 20Consensus 20Blocks 20Types of Blockchains 21Public, Private, and Hybrid Blockchains 21Summary 27CHAPTER 2 ENTERPRISE BLOCKCHAINS: HYPERLEDGER, R3 CORDA, QUORUM, AND ETHEREUM 29Comparing Enterprise Blockchains 29Introducing the Hyperledger Project 31Hyperledger Frameworks 32Introducing Hyperledger Fabric 35Hyperledger Fabric Ledger 37Hyperledger Fabric Consensus 38Hyperledger Fabric Transactions 38Hyperledger Fabric Nodes 40Hyperledger Fabric Business Networks 40Hyperledger Fabric Chaincode (Smart Contracts) 41Hyperledger Fabric Development Tools 41Hyperledger Fabric Governance 43Introducing R3 Corda 43R3 Corda Blockchain Fundamentals 46R3 Corda Network 46R3 Corda Ledger 47R3 Corda Consensus 48R3 Corda Nodes 49R3 Corda States 49R3 Corda Transactions 50R3 Corda Client Applications 50R3 Corda Smart Contracts 51R3 Corda Development Tools 52R3 Corda Governance 53Introducing Quorum 54Quorum Blockchain Fundamentals 55Quorum Ledger 56Quorum Consensus 56Quorum Smart Contracts 56Quorum Tools and Utilities 57Quorum Governance 58Introducing Ethereum 58Ethereum Blockchain Fundamentals 60Ethereum Ledger 61Ethereum Node EVM 61Ethereum Client Apps 63Ethereum Transactions 64Ethereum Smart Contracts 64Ethereum Wallets 66Ethereum Tools and Utilities 66Ethereum Governance 68Summary 68CHAPTER 3 ARCHITECTING YOUR ENTERPRISE BLOCKCHAIN 69Blockchain Technology Focus Areas 69Blockchain Success Areas 70Blockchain Compliance 71Architecting a Blockchain Solution 71Blockchain Design Workflow 72Use Case Potential 72Blockchain Structure and Components 77Blockchain Structure 77Blockchain Core Components 79Enterprise Blockchain Architectures 81TOGAF Domains 81What, Who, and How of Enterprise Architecture 82Tenets 82Blockchain Design 83Enterprise Blockchain Adoption Challenges 84Risk Management 84Blockchain as a Hammer 85Enterprise Blockchain Design Principles 85Enterprise Blockchain Design Requirements 86Other Concerns—Deployment Model 90Hyperledger Fabric 90Hyperledger Fabric’s Main Selling Points 91Hyperledger Fabric’s Blockchain Design Considerations 91Hyperledger Fabric’s Advantages 91Hyperledger Fabric’s Design Example Architectures 96R3 Corda 98R3 Corda’s Main Selling Points 98R3 Corda’s Design Considerations 98R3 Corda’s Design Example Architectures 102Ethereum 104Ethereum’s Selling Points 104Ethereum’s Blockchain Design 105Ethereum’s Design Example Architectures 107Quorum 109Quorum’s Selling Points 109Quorum’s Blockchain Design Principles 111Quorum’s Design Example Architectures 113Summary 114CHAPTER 4 UNDERSTANDING ENTERPRISE BLOCKCHAIN CONSENSUS 117Blockchain Consensus Methods from a Historical Perspective 118The Importance of Consensus 118Byzantine Generals Problem 119Byzantine Fault Tolerance 121Comparing Enterprise Blockchain Consensus Methods 121Proof-of-Work Consensus 122Proof-of-Stake Consensus 124Comparing Proof of Work and Proof of Stake 125Proof of Elapsed Time 126Delegated Proof of Stake 128Delegated Byzantine Fault Tolerance 129Practical Byzantine Fault Tolerance 130Istanbul Byzantine Fault Tolerance 130Raft Consensus 131Directed Acyclic Graph 132Blockchain Consensus Evaluation 134Summary 135CHAPTER 5 ENTERPRISE BLOCKCHAIN SALES AND SOLUTIONS ENGINEERING 137Enterprise Blockchain Sales Cycle 137Blockchain Roles (Stakeholders) 139IT-Based Sales Cycles 141Presales Tasks 143Selling Enterprise Blockchain Solutions 152Sales Engineering Success 159Summary 162CHAPTER 6 ENTERPRISE BLOCKCHAIN ECONOMICS 163Introduction to Enterprise Blockchain Economics 163Enterprise Ecommerce Business Models 163Value Creation 164Blockchain Payment Gateways 164Stablecoins 165Blockchain Funding and Costs 166CAPEX and OPEX 166Cost Considerations 168Enterprise Blockchain Cost Models 173Return on Investment 174Total Cost of Ownership 176ROI vs TCO 177Potential Cost Efficiencies 177Reducing Burdened Labor Costs 177Using OPEX over CAPEX 179Lower Transaction Costs 179Costless Verification 179Intermediary Roles and Blockchain 179Summary 181CHAPTER 7 DEPLOYING YOUR BLOCKCHAIN ON BAAS 183Blockchain as a Service Overview 183Why Use a Blockchain as a Service? 184Benefits of Using a Blockchain as a Service 184Negatives of Using a Blockchain as a Service 185Blockchain as a Service for Sales Teams 186Blockchain as a Service Providers 186Amazon Web Services Options 187AWS Blockchain templates Deployment High-Level Steps 189Understanding AWS Regions and Availability Zones 189Deploying Hyperledger on AWS 191Deploying AWS Managed Blockchain 221IBM Cloud Blockchain Platforms 231Blockchain Platform 2.0 231Summary 239CHAPTER 8 ENTERPRISE BLOCKCHAIN USE CASES 241Merits of Blockchain Acceptance 241Technical Merits of Blockchain 242Business Merits of Blockchain 243Common Elements of Blockchain Adoption 244Financial Sector Use Cases 244Cross-Border Payments 245Know Your Customer 247Peer-to-Peer Lending 248Security Tokenization 248Logistics Use Cases 249Supply Chain 250Internet of Things 250Farm to Table 251Government Use Cases 252City/State of Dubai 252Country of Georgia 252Healthcare Use Cases 253Other Potential Use Cases 254Zero-Knowledge Proofs 254Social Impact, Charity, and Fundraising 255Distributed Cloud Storage 255Identity Management 255Summary 256CHAPTER 9 BLOCKCHAIN GOVERNANCE, RISK, AND COMPLIANCE (GRC), PRIVACY, AND LEGAL CONCERNS 257Governance, Risk, and Compliance 257Compliance Benefits 258Regulatory Oversight 259Common Compliance Requirements 261Smart Contract Legal Concerns 271Smart Contract Enforcement 272Smart Contract Adaptability 273Legal Jurisdiction 274Liability of Services 274Financial Sector Compliance 275Handling Customer Data 275Intellectual Property 275Auditing and Logging 276Summary 277CHAPTER 10 BLOCKCHAIN DEVELOPMENT 279Common Programming Languages 279Most Common Development Languages 280Less Widely Used Development Languages 282Summary of Blockchain Platforms 283Ethereum Development 284Smart Contracts 284Ethereum Ecosystem 288Ethereum Networks 291Ethereum Nodes 295Solidity Programming Language 296Ethereum APIs 297Ethereum Testing 299Hyperledger Development 303Chaincode 303Hyperledger Fabric Consensus Options 305Hyperledger Fabric Database Options 305Client Applications 306Fabric REST Services 307Service Discovery 307Hyperledger Composer 307R3 Corda Development 310Corda Consensus Model 311CorDapps 311Corda Network and Nodes 312Corda Service Hub 312Corda Doorman 313Corda Flows 313Client RPC 313Oracles 313Corda DemoBench 313Quorum Development 315Quorum vs Ethereum 315Quorum Cakeshop 315Blockchain Performance 316Permission or Permissionless Performance 318Performance Testing 319Blockchain Integration and Interoperability 320Data Exchange Methods 321Hash Timed Locks 321Relays and Gateways 321Summary 322CHAPTER 11 BLOCKCHAIN SECURITY AND THREAT LANDSCAPE 323Blockchain Security Basics 323Confidentiality, Integrity, and Availability 324Blockchain Best Practices 325Blockchain Security Audits 327Blockchain Security Assumptions 328Blockchain Cryptography 328Blockchain Risks 332Risk Assessment 332Risk Mitigation 333Blockchain Threat Landscape 33551 Percent Attacks 335Phishing Attacks 336DDOS Attacks 336DNS Hijacking Attacks 337Eclipse Attacks 337Insider Attacks 338Replay Attacks 338Routing Attacks 339Sybil Attacks 339Smart Contract Security 339Smart Contract Legal Prose 339Smart Contract Vulnerabilities 340Blockchain-Specific Features 340Ethereum 341Hyperledger Fabric 343R3 Corda Blockchain 344Quorum 345Summary 347CHAPTER 12 BLOCKCHAIN MARKETPLACE OUTLOOK 349Technology Investments 349Investments in Blockchain350Blockchain Market Patents 350Blockchain Market Growth 352Complementary and Adverse Blockchain Acceptance Drivers 352Blockchain Expertise Demand 353Blockchain Market Expertise Expansion 353Blockchain Certifications 354Blockchain Institute of Technology 355Blockchain Council 355Blockchain Training Alliance 356Summary 357Index 359
Topics in Multiphase Transport Phenomena
Chapter 1 A Fluid-Porous Solid Reaction Model With Structural Changes, supplies details on modeling reactions with porous catalysts. The unique feature of this chapter is the pore closing, pore opening condition. This analysis is particularly useful for improving the design of storage batteries. Until the publication of “A Model for Discharge of Storage Batteries” by Dimitri Gidaspow and Bernard S. Baker, Journal of the Electrochemical Society,120, 1005-1010 (1973) the discharge of batteries was described by a purely empirical equation as a function of time. Chapter 2 Kinetics of the Reaction of CO2 With Solid K2CO3, complements U.S. patent No. 3,865,924 (February 11,1975) by Dimitri Gidaspow and Michael Onischak, on rates of carbon dioxide (CO2) capture. These rates of reaction were measured in a parallel plate channel at several laminar flow velocities. An integral equation flow analysis was used to obtain diffusion independent rates of reactions. Chapter 3 Silicon Deposition Reactor Using High Voltage Heating, describes an internally heated fluidized bed with no size limitations and with no bubble formation and its simulation. Chapter 4 Alternative Methods of Deriving Multiphase Field Equations, constitutes a literature review of approaches that have been used and/or proposed in the literature to derive multiphase flow equations which could form the basis of the theory and computation of dense suspensions of particulates such as coal-water slurries or blood flow.
Introduction to Oracle Database Administration
This book is not Oracle theory or database management system theory book. It is not Oracle programming book either. It is an Oracle DBA (Database Administrator) practice process and scripts and documentations based on author’s working experiences. The readers can be people who are interested in learning knowledge on Oracle database administrations like developers working on Oracle database, Oracle DBA beginners who wants to know how to manage their Oracle database, IT managers who wants to have some concepts and knowledge on Oracle DBA jobs etc. In this book, the author provides process, scripts, tools and methods to do Oracle DBA jobs like backup/recover methods and scripts, database clone scripts, regular database maintenance like index defragmentation scripts etc in Oracle 11g and 12C and Windows Server environments.
Protektion 4.0: Das Digitalisierungsdilemma
Das Buch beschreibt Datenschutz erstmals als Offenheit (Transparenz) statt Datensparsamkeit. Der Autor beschreibt als Voraussetzung dazu einen Besitztitel auf Daten. Die Umsetzung erfolgt über Big Data, deren Techniken so ausgelegt sind, dass Daten zur „handelbaren“ Ware werden können, indem dokumentierbar wird, wie von wem wozu Daten verwendet worden sind. Transparente Verwendung auch in Hinsicht auf den Nutzen oder die Notwendigkeit statt Verbergen wird als neues Privatheitsmodell vorgeschlagen. Die Synchronisation der Entwicklung von Technik und Gesellschaft steht dabei im Vordergrund. Zahlreiche Fallstudien erhöhen den praktischen Nutzen des Buches.PROFESSOR GÜNTER MÜLLER hat als Direktor der IBM Forschung Europa mit der Entwicklung zu Datennetzen die Digitalisierung gefördert.Sicherheit und Privatheit als Kontrollelement der Innovation war sein Thema an der Universität Freiburg und am von ihm gegründeten Institut für Informatik und Gesellschaft. Er konnte dazu internationale Netzwerke etablieren; insbesondere das Daimler-Benz-Kolleg, den Schwerpunkt „Sicherheit“ in der DFG, die Mitgliedschaft im Feldafinger Kreis, die bis heute anhaltende Kooperationen mit den Universitäten Wien, Tokio und Harvard und nicht zuletzt die richtungsweisende ACTECH-Studie zu Privatheit und die Zusammenarbeit mit Fraunhofer Darmstadt. Eine algorithmische Ordnung der Plattformen gefährdet das Gemeinwohl und reduziert die Potentiale der Informationstechnik zur Lösung der wichtigen Probleme der Menschheit. Für sein Wirken wurde ihm die Ehrendoktorwürde der TU Darmstadt und das Ehrenkreuz der Republik Österreich verliehen.
Digitalization of Society and Socio-political Issues 2
Introduction xiiiÉric GEORGEPART 1. THE DIGITAL AND INFORMATION 1CHAPTER 1. NEW NEWS FORMATS ON/BY DIGITAL SOCIAL NETWORKS 3Valérie CROISSANT and Annelise TOUBOUL1.1. Framework for the exploratory analysis 41.2. Media temporalities 61.2.1. Signifying time 61.2.2. The media agenda 71.3. Media territories 101.3.1. Broadcasting tactics on Konbini 101.3.2. Tactics and dependencies for Brut and Le Monde 111.4. Conclusion 121.5. References 13CHAPTER 2. NEW INFORMATION PRACTICES AND AUDIENCES IN THE DIGITAL AGE 15Pascal RICAUD2.1. Understanding the reality of media change in a context of digital transition 152.2. A new media contract 172.2.1. Redefining the problematic figure of an audience 182.2.2. What is the real place and involvement of the audience? 202.3. The new intermediate figures of information (the partition of participation) 212.4. Conclusion 232.5. References 23CHAPTER 3. THE EFFECTS OF INNOVATION ON THE CAREERS OF JOURNALISTS 27Fábio Henrique PEREIRA3.1. Theoretical framework 273.1.1. Profession and segments 273.1.2. A transnational identity for online journalists? 283.2. Methodology 303.3. Results 313.3.1. Ideological injunctions to innovation 313.3.2. Innovation discourses found in careers 343.3.3. An international circulation of discourses on innovation? 373.4. Conclusion 373.5. References 38CHAPTER 4. VIRTUAL REALITY AND ALTERNATIVE FACTS: THE SUBJECTIVE REALITIES OF DIGITAL COMMUNITIES 41Louis-Philippe RONDEAU4.1. Social media and alternative facts 414.2. VR: a surrogate reality 424.3. Convergence of social and virtual realities 454.4. Virtual reality as a vector of empathy 464.5. Conclusion 474.6. References 48CHAPTER 5. PROFESSIONAL STRUCTURING OF POLITICAL CONTENT CREATORS ON YOUTUBE 51Alexis CLOT5.1. Being political on the Internet 535.1.1. Algorithms and buzz 535.1.2. Moderation and openness 535.1.3. To take on or not to take on politics 555.2. New grammars and old practices 565.2.1. Doing politics differently (Interview 7, 2018) 565.2.2. Journalists and videographers: “rival partners”? 575.3. Conclusion 595.4. References 59CHAPTER 6. WHEN VLOGGING EDUCATES IN POLITICS: THE FRENCH CASE OF “OSONS CAUSER” 61Christelle COMBE6.1. Theoretical anchoring 626.1.1. Computer-mediated multimodal communication and digital discourse analysis 626.1.2. Multimodal interactive platforms and participatory culture 636.2. Purpose of the research and methodological approach 646.2.1. The vlog “Osons Causer” 646.2.2. The methodological approach 646.3. Analyses 656.3.1. Digital writing and building an ethos 656.3.2. Educating for politics: digital rhetoric and elements of didacticity 676.3.3. Relationality of native digital discourse 706.4. Conclusion 756.5. References 76PART 2. DIGITAL AND MOBILIZATIONS 79CHAPTER 7. EL DIA DE LA MÙSICA: THE DIGITAL ORGANIZATION OF THE 2017 CATALAN REFERENDUM 81Philippe-Antoine LUPIEN7.1. Context: the organization of Catalan civil society 827.2. The alternative organization of the Catalan referendum 857.2.1. Broadcast: IPFS protocol to bypass censorship 867.2.2. Mobilization and tactical communication: Telegram Messenger, official ANC channel 887.2.3. Voting: the “computer heroes” of October 1 897.3. Conclusion 917.4. References 92CHAPTER 8. DIGITALIZATION AND CIVIC ENGAGEMENT FOR THE ENVIRONMENT: NEW TRENDS 93Ghada TOUIR8.1. Case study and methodology 958.2. Results and analyses 978.2.1. News/monitoring 988.2.2. Contact/networking 988.2.3. Mobilization/action 988.2.4. Sharing of know-how and knowledge 988.3. Conclusion 1008.4. References 101CHAPTER 9. ONLINE ANTIFEMINIST DISCOURSE AND THE REPUBLICAN LEFT 103Sklaerenn LE GALLO9.1. Republican feminism, universalist feminism 1049.1.1. Liberty, equality, fraternity 1049.1.2. Thinking about secularism 1059.1.3. A differentiated citizenship? 1069.2. The case of Jean-Luc Mélenchon 1089.2.1. On communitarianism 1089.2.2. About Jeuxvideo.com’s forum 18-25 1099.3. Conclusion 1109.4. References 111CHAPTER 10. DIGITAL SOCIAL MEDIA AND ACCESS TO PUBLIC SPHERE 113Raymond CORRIVEAU and France AUBIN10.1. Research question 11410.2. Public space and its challenges 11410.3. Methodological design 11510.4. Demonstration of evidence 11610.5. Results 11810.5.1. Visibility and consultation 11910.5.2. The interaction 11910.5.3. The follow-up 11910.6. Reminder of the approach 12010.7. Discussion 12110.8. Conclusion 12210.9. References 122CHAPTER 11. CIVIL SOCIETY AND ONLINE EXCHANGES: SOME DIGITAL CONTINGENCIES 123Martin BONNARD11.1. Materialistic approach and transindividual communication milieu 12311.2. Apparatuses and mediation through technology 12411.3. Three digital contingencies 12611.4. Conclusion 12811.5. References 129PART 3. DIGITAL: SOME MAJOR ISSUES TO CONCLUDE 133CHAPTER 12. TRANSPARENCY, THE PUBLIC’S RIGHT TO INFORMATION VERSUS SECURITY AND STATE SECRECY IN THE DIGITAL AGE 135Ndiaga LOUM12.1. Relationships of power and domination between fields: research questions 13712.2. Illustrative case studies of power relationships 13912.2.1. The sponsorship scandal: a Canadian case study 13912.2.2. The unique and specific case of WikiLeaks: freedom of information versus the need for state security 14312.3. Conclusion 14512.4. References 146CHAPTER 13. INFORMATION COMMONS AND THE NEOLIBERAL STATE 149Lisiane LOMAZZI13.1. The history and evolution of the commons 15013.1.1. Legal and economic concepts of common goods 15013.1.2. Political economy of the commons: the commons as institutional arrangements 15113.1.3. The socio-politics of the common: the common as a political principle 15213.2. The relationship between the commons and the neoliberal state 15313.2.1. Article 8 of the Digital Republic Bill 15313.2.2. The European Digital Summit 15413.3. Conclusion 15613.4. References 157CHAPTER 14. DIGITALIZATION OF SOCIETY: ELEMENTS FOR AN ECOLOGY OF SOLICITATION? 159Dominique CARRÉ14.1. Social computerization, digitalization of society: two different processes or a new step in the same rationalization process? 16014.2. Relevance of communication studies to understand the process of social computerization (digitalization) 16014.3. Outline of a new research orientation: moving towards an ecology of solicitation? 16214.4. Which approach should be adopted? 16414.5. Conclusion 16514.6. References 165CHAPTER 15. WHAT IS THE CONCEPT OF HUMANITIES IN FRANCOPHONE DIGITAL HUMANITIES? 169Christophe MAGIS15.1. The emergence of Francophone digital humanities 16915.2. Digital humanities in the changing world of universities and HSS 17115.3. Towards a critical theory of the humanities in the digital age: experience, interpretation and speculative thinking 17415.4. Conclusion 17815.5. References 178CHAPTER 16. THE DIGITAL HUMANITIES AS A SIGN OF THEIR TIME 181Luiz C. MARTINO16.1. Breaking down the barriers between digital humanities 18316.2. Actuality 18416.3. Theory and practices 18616.4. Conclusion 18916.5. References 190Conclusion 193Michel SÉNÉCALList of Authors 205Index 207
Refactoring Legacy T-SQL for Improved Performance
Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.Legacy code isn’t just found in queries and external applications. It’s also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability.WHAT YOU WILL LEARN* Find specific areas in code to target for performance gains* Identify pain points quickly and understand why they are problematic* Rewrite legacy T-SQL to reduce or eliminate hidden performance issues* Write modern code with an awareness of readability and maintainability* Recognize and correlate T-SQL anti-patterns with techniques for better solutions* Make a positive impact on application user experience in your organizationWHO THIS BOOK IS FORDatabase administrators or developers who maintain older code, those frustrated with complaints about slow code when there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organizationLISA BOHM leads a team of database administrators for a software development company. Her history with legacy database code began early in her career with a summer project to rewrite the chemical inventory database for the research division of a local VA hospital. From there, she went on to building front-end web applications. When the web calls timed out, Lisa dug in to learn what databases can do. She has since transitioned into database administration, inheriting and improving legacy applications along the way. Her personal focus remains on solid database architecture and writing well-performing T-SQL.PART I. EVERYTHING IS SLOW1. T-SQL Triage2. DocumentationPART II. DATABASE STRUCTURE3. Database Tables4. Database ViewsPART III. CRUD OBJECTS5. Triggers6. Stored Procedures7. FunctionsPART IV. THE BAD AND THE UGLY8. Agent Jobs9. External Influences
Maschinen der Kommunikation
EIN BUCH ÜBER MENSCHEN, MASCHINEN UND IHRE VERBINDUNGENDigitale Endgeräte sind längst zu einem festen Bestandteil unserer Gesellschaft geworden. Aber wie wirkt sich der technische Fortschritt auf unser tägliches Zusammenleben aus? Antworten auf diese Frage liefert das neue Buch über die wechselseitigen Beziehungen zwischen Mensch und Maschine.DIGITALISIERUNG ALS KULTURELLE REVOLUTIONDass neue Technologien industrielle und wirtschaftliche Prozesse verändern, lässt sich leicht anhand von Portalen wie eBay oder Amazon belegen. Das Internet setzt aber auch weniger sichtbare Veränderungen in Gang. So nehmen technische Innovationen Einfluss darauf, wie wir Menschen Informationen vermitteln, aufnehmen und verarbeiten. Zu solchen Innovationen zählen:* Chatbots* Humanoide Roboter* Digitale AgentenDer Wandel kultureller Praktiken bedeutet jedoch nicht, dass menschliches Miteinander auf Kosten eines automatisierten Überwachungsapparates verloren geht. Die Herausgeber Klimczak, Petersen und Schilling rufen in ihrem Buch zu einem fachübergreifenden Austausch über die Kommunikationsweisen zwischen Mensch und Maschine auf.POSTHUMANISMUS AUS INTERDISZIPLINÄRER SICHTDie Herausgeber dieses Buchs über Mensch, Maschine und Gesellschaft arbeiten an der Technischen Universität in Brandenburg in den Bereichen Medienforschung und Kognitive Systeme. Ihre Kollaboration basiert auf einer engen Vernetzung von kulturwissenschaftlichen und informationstechnologischen Disziplinen. Konkret bedeutet das:* Geisteswissenschaftler müssen die maschinellen Grundlagen ihrer digitalen Untersuchungsobjekte verstehen.* Technische Entwickler müssen verstehen, wie ihre Erfindungen kulturelle Verhältnisse verändern. Auch wenn die Herausgeber für ihr Buch über die komplexen Zusammenhänge zwischen Mensch und Maschine eine Vielzahl an Perspektiven heranziehen, werden immer wieder Überschneidungen deutlich. Deshalb richtet sich dieses Werk an Forscher und Praktiker aus verschiedensten Fachgebieten, darunter:* Informatik* Nachrichtentechnik* Kulturwissenschaft* Soziologie* PhilosophieNur, wenn all diese Disziplinen an einem Strang ziehen, kann unsere Gesellschaft die Herausforderungen meistern, die Neue Medien und Künstliche Intelligenz mit sich bringen.PETER KLIMCZAK, Dr. phil. et Dr. rer. nat. habil., ist Privatdozent an der MINT-Fakultät der Brandenburgischen Technischen Universität.CHRISTER PETERSEN, Dr. phil., ist Professor für Angewandte Medienwissenschaften an der Brandenburgischen Technischen Universität.SAMUEL SCHILLING, M.A., ist Projektmitarbeiter am Forschungscluster Kognitive Systeme der Brandenburgischen Technischen Universität.Metadaten.- Wissen und Suchmaschinen.- Personalisierung.- Mensch, Maschine, Gesellschaft.- Maschinenlernen.- Normativität.
Intelligent Notification Systems
NOTIFICATIONS PROVIDE A UNIQUE MECHANISM FOR INCREASING THE EFFECTIVENESS OF REAL-TIME INFORMATION DELIVERY SYSTEMS. HOWEVER, NOTIFICATIONS THAT DEMAND USERS' ATTENTION AT INOPPORTUNE MOMENTS ARE MORE LIKELY TO HAVE ADVERSE EFFECTS AND MIGHT BECOME A CAUSE OF POTENTIAL DISRUPTION RATHER THAN PROVING BENEFICIAL TO USERS.In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.* Preface* Acknowledgments* Introduction* Interruptions* Cost of Interruption* An Overview of Interruptibility Management* Interruptibility Management in Desktop Environments* Interruptibility Management in Mobile Environments* Limitations of the State of the Art and Open Challenges* Summary* Bibliography* Authors' Biographies
Informationssicherheit und Datenschutz systematisch und nachhaltig gestalten
In diesem Buch werden die Anforderungen der EU-Datenschutz-Grundverordnung (EU-DSGVO) und des Informationssicherheitsmanagements eingeführt. Es wird aufgezeigt, welche wesentlichen Bestandteile für ein integriertes, einfaches und effektives Management-Instrumentarium erforderlich sind. Durch die Kombination mit Enterprise Architecture Management, IT-Servicemanagement und weiteren Disziplinen in ein integriertes Managementsystem kann die Wirksamkeit noch erhöht werden. Neben einer Einführung erhält der Leser Tipps und Tricks für die typischen Fallstricke in der Praxis sowie unmittelbar anwendbare Leitfäden und Empfehlungen – und dies kurz und prägnant. In der 2. Auflage wurden kleinere Fehler korrigiert.Inge Hanschke verfügt über Erfahrung aus 31 Berufsjahren als CIO und IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und bei verschiedenen IT-Dienstleistern. Sie ist eine anerkannte Autorin von Fachbüchern über EAM, BPM, Business-Analyse, Lean IT-Management sowie Informationssicherheit und Datenschutz.Einleitung.- Herausforderungen in der Informationssicherheit und im Datenschutz.- Integriertes Managementsystem für Datenschutz und Informationssicherheit.- EAM & CMDB als Erfolgsfaktor für ein wirksames ISMS.
Rückblick auf die Anfänge der Münchner Informatik
Jura lernt man von Juristen und Medizin bei Medizinern. Von wem aber haben die beginnenden Informatiker aus den 1960er Jahren gelernt? Grenzüberschreitend natürlich von Pionieren unter Mathematikern, Physikern und Elektroingenieuren, doch auch von gänzlich anderen unerwartet zum Fach gewechselten. Das macht es so spannend, die Anfänge der Informatik zu verfolgen.Dieses Buch präsentiert eine einmalige Sammlung von Dokumenten, Fotos und vielgestaltigen Informationen. Es illustriert damit, wie sich die Münchner Informatik aus dem Nichts heraus entwickeln konnte.GUNTHER SCHMIDT begleitete die entstehende Informatik in München seit 1962. Er vertrat vielfach Vorlesungen, wenn deren frühe Protagonisten Robert Sauer, F. L. Bauer und Klaus Samelson sich Numerik, Informatik und organisatorischem zu widmen hatten; er wickelte nebenher jahrelang die vielen anstehenden Personalmaßnahmen der Aufbauphase ab. Über größere eigene graphen- und relationentheoretische Projekte wurde er daneben selbst zum mehrfachen Buchautor und Herausgeber. Mathematik der 1950/60er Jahre an der TH München.- Ingenieure beginnen den Bau der PERM.- Entstehung der Informatik und der Numerik.- Publikationen: Visualisierung erster Bücher, Zeitschriften.- Ausgründungen: Fachgesellschaft GI und mehrere Fakultäten.- Ehrungen/Würdigungen für Robert Sauer, F. L. Bauer und Klaus Samelson.
Channel and Source Coding for Non-Volatile Flash Memories
Mohammed Rajab proposes different technologies like the error correction coding (ECC), sources coding and offset calibration that aim to improve the reliability of the NAND flash memory with low implementation costs for industrial application. The author examines different ECC schemes based on concatenated codes like generalized concatenated codes (GCC) which are applicable for NAND flash memories by using the hard and soft input decoding. Furthermore, different data compression schemes are examined in order to reduce the write amplification effect and also to improve the error correct capability of the ECC by combining both schemes. Mohammed Rajab has a B.S. in Information Technology and a M.Sc. in Computer Science in 2011 and 2014, respectively. Since 2014 he is scientific assistant at the Institute of System Dynamics (ISD) at the University of Applied Sciences in Konstanz, Germany. He received his PhD in computer science and engineering in July 2019 from Ulm University. His main areas of research interest are signal processing for communication systems, data compression and channel coding in non-volatile memories.Reduction of the Write Amplification Effect by using Data Compression Scheme.- Error Correcting Code and Offset Calibration for NAND Flash Memory.- Soft Input Decoding for Generalized Concatenated Codes (GCC).
Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.Pascal Laube’s main research interest is the development of machine learning methods for CAD reverse engineering. He is currently developing self-driving cars for an international operating German enterprise in the field of mobility, automotive and industrial technology.Machine Learning Methods for Parametrization in Curve and Surface Approximation.- Classification of Geometric Primitives in Point Clouds.- Image Inpainting for High-resolution Textures Using CNN Texture Synthesis.