Computer und IT
Penetrationstests erfolgreich umsetzen
Dieses Buch ist ein Praxisleitfaden für Verantwortliche in Unternehmen, die Pentests erfolgreich umsetzen wollen. Dabei werden aktuelle regulatorische Anforderungen und Herausforderungen ebenso beleuchtet wie die unterstützende Wirkung der KI.Professionelle Dienstleister decken durch Pentests Schwachstellen in Komponenten auf, damit Betroffene diese proaktiv beheben können. Dabei werden Vorgehen und Methoden echter Angreifer angewendet.Die Autoren geben praxisnahe Tipps zum Vorgehen, beginnend bei der Planung erster Pentests bis zur Nachbereitung. Es wird in sämtlichen Phasen aufgezeigt, wie für alle Seiten ein optimaler Nutzen aus Pentest-Projekten gezogen wird, bei gleichzeitig rechtlich sicheren Rahmenbedingungen.NINA WAGNER hat nach ihrem Mathe-Studium die IT-Sicherheitsbranche fasziniert, besonders das proaktive Aufdecken von Schwachstellen. Vor der Gründung ihrer eigenen Firma, der MindBytes GmbH, hat sie bereits mehrere Jahre als Pentesterin und Red Teamerin gearbeitet.HORST SPEICHERT ist Partner der Kanzlei esb Rechtsanwälte und seit mehr als 25 Jahren als Rechtsanwalt spezialisiert auf IT-Recht, Datenschutz und Informationssicherheit.DR. STEPHEN FEDTKE ist Wirtschaftsingenieur der Elektrotechnik (TH Darmstadt, Regelungstechnik), Autor und Herausgeber im Springer Verlag, und CTO des Sicherheits- und Compliance-Lösungsanbieters Enterprise-IT-Security.com.BERNHARD C. WITT berät seit 1998 zu Informationssicherheit und ist als Principal on Cybersecurity and Critical Entities Protection bei der SITS Deutschland GmbH beschäftigt. Er ist ein ausgewiesener Experte zur neuen Regulierung zur Cybersicherheit und hat zahlreiche Prüfungen kritischer Infrastrukturen nach § 8a Abs. 3 BSIG durchgeführt oder begleitet.Einleitung.- Testgegenstände.- Anbieterauswahl.- Ablauf eines Pentests.- Pentests rechtssicher umsetzen.- Woher kommen Pflichten für Pentests.- Erste Pentests umsetzen.- Pentests und künstliche Intelligenz.- Anhang.
Metaversum
Die Entwicklung des Internets, insbesondere des WWW, stößt aktuell an ihre Grenzen – sowohl technisch als auch sozio-kulturell und ökonomisch. Als Lösung wird ein neues Internet versprochen, das die Grenzen der realen und der virtuellen Welt überwinden und Realität und Digitalität verschmelzen soll – das Metaversum. Technische, semantische und organisatorische Details greifen hierzu eng ineinander. Was aber bedeutet dies bei genauerer Betrachtung? Welche technisch-technologischen Herausforderungen müssen bewältigt werden, um ein solches Verschmelzen zu erreichen? Welche ökonomischen Möglichkeiten eröffnen sich– und welche verbieten sich möglicherweise? Wie kann erreicht werden, dass ein offenes und für jeden benutzbares Metaversum entsteht? Und wie kann vermieden werden, dass auch in diesem neuen Metaversum wenige große Anbieter ihre proprietären Ideen durchsetzen? Für diese Fragen soll dieses Buch Antworten aufzeigen. In der vorliegenden Auflage wurden zudem aktuelle Trends sowie der Beitrag der künstlichen Intelligenz zum Metaversum ergänzt.DR. PETER HOFFMANN, einerseits Hochschullehrer für Wirtschaftsinformatik, andererseits Medieninformatiker mit Herz und Seele, beschäftigt sich seit mittlerweile mehr als 20 Jahren mit den Fragen danach, was „digitale Medien“ und „virtuelle Welten“ eigentlich sind und wie der Benutzer mit ihnen interagieren kann.Metaversum?.- Woher … wohin … oder: was überhaupt.- Das Verschmelzen von Welten und …versen.- Eine andere Dimension: Ökonomisches Verschmelzen.- Was nicht fehlen darf: Kritik.- Die wirkliche Vision.- Jetzt ist die Zeit zum Bauen!.- Nachtrag 1 - Weil es so aktuell ist: Künstliche Intelligenz im Metaversum?.
Getting Started with .NET Aspire
Learn to master the brand-new .NET Aspire stack to simplify the creation of cloud-native and distributed applications. You will learn how .NET Aspire combines all the necessary tools, templates, and packages to minimize friction for applications that draw on a broad array of servers.Experienced software engineer Dave Rael explains how to leverage .NET Aspire. He begins by describing the motivations for .NET Aspire and how it improves upon current approaches for distributed applications. Then, he shows you how to use .NET Aspire and its associated tools and libraries in your projects, whether your project is completely from scratch or builds upon a previously existing solution.WHAT YOU WILL LEARN:* Gain a solid understanding of the .NET Aspire stack* Create rich and dynamic distributed apps using .NET Aspire* Test, deploy, and observe your cloud-native app* Leverage built-in tools to use unit testing and integration testing with your projectsWHO THIS BOOK IS FOR:This book is for both students and .NET developers who want to build cloud-native, distributed applications using the .NET Framework. A working knowledge of C# is recommended to follow the examples used in the book.DAVE RAEL is a father, husband, and seasoned software professional. He has worked as a software developer, analyst, tester, engineer, and architect in numerous verticals and industries over the course of more than 25 years. In 1999, he started in professional software development for a large telecom company working with C++, Visual Basic, .NET, and C#. He created and published the popular podcast _Developer On Fire_ from 2015-2019, in which he interviewed software professionals to gather stories from the world of software. The project of raising excellent offspring is his most important and most successful project to date.Chapter 1: Introducing .NET Aspire.- Chapter 2: Getting Started with .NET Aspire.- Chapter 3: .NET Aspire Project Types and Templates.- Chapter 4: System Architecture Considerations.- Chapter 5: Testing Your Systems.- Chapter 6: .NET Aspire Integrations.- Chapter 7: Deploying Your Aspire-Based System.- Chapter 8: System Observability with .NET Aspire.- Chapter 9: Greenfield: Implementing New Systems with .NET Aspire.- Chapter 10: Brownfield: Using .NET Aspire with Existing Systems.- Chapter 11: Wrapping Up.
Designing Websites with Publii and GitHub Pages
Does getting online seem overwhelmingly difficult? Are you paying too much for your hosting solution? Have you always wanted to have a blog but don’t know where to start? Do you settle for a Facebook page for your business website but know you need more? The solution to these problems is choosing the right tools. This book will guide you through the process of setting up a Publii-based publishing platform and hosting your site for free on GitHub.Publii is a free, open source, desktop application that runs on Windows, Mac, and Linux and makes building the website or blog you dream of is a simple process. This book walks you through the process of installing and using Publii, setting up accounts on GitHub and hosting a static blog or website there. You will gain background insights on here to get no-cost imagery for website, how to leverage AI to generate ideas, outlines, and images. You’ll also review search engine optimization (SEO) best practices to ensure your site is searchable._Designing Websites with Publii and GitHub Pages_ is your roadmap to creating a website and understanding how the publishing workflow works.WHAT YOU WILL LEARN* Use text editors such as WYSIWYG, Block, and Markdown* Make a page from a post.* Work on advanced processes such as installing themes and plugins* Manage and back up your data* Explore GDRP and cooking banner considerationsWHO THIS BOOK IS FORThose with limited or no programming or compute skills who want to learn how to set up a website.BRAD MOORE is a technical writer and blogger based in Kentucky, USA. who has been involved in web development for 20 years. He has helped clients host sites with WordPress, Grav and Publii since 2023. Brad enjoys programming, electronics, microprocessors, and model trains. Brad is married and has three children.PART I.- 1: Introduction.- 2: Getting Started.- 3: Getting Publii Running.- 4: Getting Ready for Content.- 5: Adding Content.- 6: Page Building in Publii.- 7: Creating a GitHub Page.- 8: Configure Publii for Sync.- PART II.- 9: Backups and Sites.- 10: Themes.- 11: Single Page Sites.- 12: Gallery & Contacts.- 13: Internet Real Estate.- PART III.- 14: Plugins and Cookies.- 15: CSS Tricks.
Autodesk Fusion - Der praktische Einstieg in die 3D-Modellierung
Learning by Doing Dieses Workshop-Buch führt Sie Schritt für Schritt in die Arbeit mit Autodesk Fusion ein. Anhand anschaulicher Beispiele und klar strukturierter Übungen lernen Sie die wichtigsten Funktionen des leistungsstarken CAD-Programms von Grund auf kennen. Ob einfache Bauteile, komplexe Baugruppen oder animierte Explosionsdarstellungen: Sie wenden das Gelernte sofort praktisch an. Einfach erklärt - auch ohne CAD-Erfahrung leicht verständlich Die Anleitungen sind so gestaltet, dass sie sich leicht nachvollziehen lassen - ganz gleich, ob Sie beruflich mit CAD arbeiten, als Student erste Erfahrungen sammeln oder als Maker Ihre Projekte verwirklichen möchten. Dank zahlreicher Abbildungen und präziser Erläuterungen eignet sich das Buch ideal für den Einstieg. Perfekt abgestimmt auf die kostenlose Fusion-Version Alle Projekte und Übungen sind auf die kostenlose Version von Autodesk Fusion für Privatanwender ausgerichtet und lassen sich damit ohne Einschränkungen umsetzen. Gleichzeitig bilden sie eine solide Grundlage für den professionellen Einsatz mit der kostenpflichtigen Vollversion. Aus dem Inhalt: * Volumenkörper über Skizzen Modellieren * Einfache Volumenkörper mittels Extrusion (Austragung) und Rotation (Drehen) * Gebogene Teile mittels Sweep mit Pfaden * Bohrungen und Gewinde * Modellieren über Flächen * Zusammenfügen von Einzelkörpern zu Baugruppen * Einfügen von Zukaufteilen aus Katalogen * Gelenke definieren und Animation von Bewegungen * Fotorealistische Darstellungen * Ableiten technischer Zeichnungen mit Ansichten und Schnitten * Erstellen von Werkzeugbahnen zur Fertigung auf NC-Maschinen * Datenausgabe für 3D-Druck Detlef Ridder hat langjährige Erfahrung im Bereich CAD und bereits zahlreiche Bücher zu AutoCAD, Inventor, Revit und Archicad veröffentlicht. Er gibt Schulungen zu diesen Programmen und zu CNC und weiß daher, welche Themen für Einsteiger besonders wichtig sind.
Cybersecurity Threats and Attacks in the Gaming Industry
Learn about the most common and known threats and attacks in the gaming industry. Cybersecurity is a critical concern in the gaming industry due to the significant financial investments, personal data, and intellectual property at stake. Game developers, publishers, and players all have a vested interest in maintaining a secure gaming environment.This pocketbook is about why cybersecurity in the gaming industry is essential to protect player data, maintain a secure gaming environment, and safeguard intellectual property. Both players and game developers need to remain vigilant, educate themselves about potential threats, and employ best practices to ensure a safe and enjoyable gaming experience. We will describe the most common type of targeted games facing cybersecurity attacks as well as some of the most common types of cyber threats faced by the gaming industry such as malware, distributed denial of service (DDoS) attacks, data breaches, etc.WHAT YOU WILL LEARN* Describes the importance cybersecurity in the gaming industry* Explains key aspects of cybersecurity in the gaming* Describes the common types of cyber threats faced by the gaming industryWHO IS THIS BOOK FORThe book assumes you have strong gaming development and security knowledge. The book will be written mainly for developers who want to learn how to choose the right tools, what are the best practice, the threats, and vulnerabilitiesMASSIMO NARDONE has more than 27 years of experience in information and cybersecurity for IT/OT/IoT/IIoT, web/mobile development, cloud, and IT architecture. His true IT passions are security and Android. He has been programming and teaching how to program with Android, Perl, PHP, Java, VB, Python, C/C++, and MySQL for more than 27 years. He holds an M.Sc. degree in computing science from the University of Salerno, Italy. Throughout his working career, he has held various positions starting as programming developer, then security teacher, PCI QSA, Auditor, Assessor, Lead IT/OT/SCADA/SCADA/Cloud Architect, CISO, BISO, Executive, Program Director, OT/IoT/IIoT Security Competence Leader, etc.In his last working engagement, he worked as a seasoned Cyber and Information Security Executive, CISO and OT, IoT and IIoT Security competence Leader helping many clients to develop and implement Cyber, Information, OT, IoT Security activities.His technical skills include Security, OT/IoT/IIoT, Android, Cloud, Java, MySQL, Drupal, Cobol, Perl, web and mobile development, MongoDB, D3, Joomla!, Couchbase, C/C++, WebGL, Python, Pro Rails, Django CMS, Jekyll, and Scratch. He has served as a visiting lecturer and supervisor for exercises at the Networking Laboratory of the Helsinki University of Technology (Aalto University).He stays current to industry and security trends, attending events, being part of a board such as the ISACA Finland Chapter Board, ISF, Nordic CISO Forum, Android Global Forum, etc.He holds four international patents (PKI, SIP, SAML, and Proxy areas). He currently works as a Cyber Security Freelancer for IT/OT and IoT. He has reviewed more than 55 IT books for different publishers and has coauthored _Pro Spring Security_ (Apress, 2023) _Pro JPA 2 in Java EE 8_ (Apress, 2018), _Beginning EJB in Java EE 8_ (Apress, 2018), and _Pro Android Games_ (Apress, 2015).Chapter 1: Introduction of Cybersecurity in the Gaming Industry.- Chapter 2: Key aspects of Cybersecurity in Gaming Industry.- Chapter 3: Games Target of Cybersecurity Attacks.- Chapter 4: Cybersecurity Threats & Attacks in Gaming Industry.
Exploring Blazor
Build and develop web applications with Blazor in C#. This new edition not only covers the new structure for the Blazor environment, it also demonstrates the latest features, such as rendering, hosting types, improved security arrangements, and updates the syntax. Two new chapters on Forms and Validation along with Security in Blazor are also added. The code and project layout have been updated in .NET 9 for this new edition.The book starts with an introduction to Blazor, along with its various categories and its basics and syntax, including Razor syntax implementation. You will go through Blazor navigation and life cycle followed by its components. You will then learn features specific to each Blazor type. You will see how Blazor works with storage, files, and JavaScript, and you will create a Blazor code library. You will also create web applications in Blazor using practical implementations and real-life scenarios for both the server side and the client side.After reading this book, you will be able to build web applications with Blazor in C#11 and .NET Core 9.0.WHAT YOU WILL LEARN* Bind data and handle events in C# Blazor* Handle components and page navigation in Blazor* Connect Blazor front-end to APIs* Interact with files using Blazor* Understand the layout of Visual Studio Blazor project templates WHO THIS BOOK IS FORC# and .NET Core developers.TAURIUS LITVINAVICIUS is a businessman and technology expert based in Lithuania who has worked with organizations in building and implementing various projects in software development, sales, and other fields of business. He currently works on modern financial applications and consults companies on technology and cost-related issues. As with most of his projects, this book uses cutting-edge technologies, such as Blazor. Taurius is responsible for technological improvements, development of new features, and general management.Chapter 1: Introduction to Blazor.- Chapter 2: Razor Syntax and the Basics of Blazor.- Chapter 3: Blazor Components and Navigation.- Chapter 4: Blazor Components.- Chapter 5: Specifics of Different Types of Blazor.- Chapter 6: Forms in Blazor.- Chapter 7: General Blazor.- Chapter 8: Security in Blazor.- Chapter 9: Practice Tasks for Server rendering Blazor.- Chapter 10: Practice Tasks for Client (WebAssembly) Blazor.
Generative AI
THIS BOOK IS ESSENTIAL FOR ANYONE EAGER TO UNDERSTAND THE GROUNDBREAKING ADVANCEMENTS IN GENERATIVE AI AND ITS TRANSFORMATIVE EFFECTS ACROSS INDUSTRIES, MAKING IT A VALUABLE RESOURCE FOR BOTH PROFESSIONAL GROWTH AND CREATIVE INSPIRATION.Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what’s possible in artificial intelligence. AUDIENCEAI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI. N. GAYATHRI, PHD, is an assistant professor in the Department of Computer Science and Engineering at the Ghandi Institute of Technology and Management, India. She has published several articles in international journals, edited many books, and serves as a guest editor and reviewer for several international journals. Her research interests include big data analytics, Internet of Things, and mobile networks, and sustainable computing. S RAKESH KUMAR, PHD, is an assistant professor in the Department of Computer Science and Engineering at the Ghandi Institute of Technology and Management, India. He has several publications in international journals, conference proceedings, and edited volumes. His research interests include artificial intelligence and machine learning. RAMESH CHANDRAN, PHD, is an associate professor in the Department of Computer Science and Engineering at the Vellore Institute of Technology, India, with over 19 years of combined teaching and industry experience. He has published over 20 articles in international journals and has presented papers in national and international conferences. His research interests include cloud computing, data mining, artificial intelligence, data analytics, and blockchain. PETHURU RAJ, PHD, is a chief architect at Reliance Jio Platforms Ltd., Bangalore, India with over 30 years of combined industry and research experience in information technology. He has been granted international research fellowships from organizations including the Japan Society for the Promotion of Science and the Japan Science and Technology Agency. His research interests include Internet of Things, artificial intelligence, model optimization techniques, blockchain, digital twins, and cloud computing. DANILO PELUSI, PHD, is an associate professor of Computer Science in the Department of Communication Sciences, University of Teramo, Italy. He is an editor for several internationally published books and journals and a member of Machine Intelligence Research Labs. His research interests include coding theory, artificial intelligence, signal processing, pattern recognition, fuzzy logic, neural networks, and genetic algorithms.
DDD 4 Developers
Neue, spannende Konzepte für DDD-Enthusiasten und Softwaremodellierer - Fokus auf Implementierungsdetails von DDD für komplexe Anwendungen - Praxisnahe Muster für die Umsetzung mit anschaulichen Beispielen - Behandlung realer Frage- und Problemstellungen in Softwareentwicklungsprojekten In den letzten Jahrzehnten hat sich Domain-Driven Design (DDD) als Technik der Wahl etabliert, um der enormen und zunehmenden Komplexität der Fachdomänen in der Softwaremodellierung zu begegnen. Christopher Rudoll zeigt, was die Prinzipien des Domain-Driven Design über die zentralen Tätigkeiten der Domänenmodellierung und des Prozessdesigns hinaus in der ganz konkreten Implementierungspraxis bedeuten und wie sie sich auf Fragestellungen in der täglichen Arbeit von Softwareentwicklern anwenden lassen. Dabei wird deutlich, dass DDD nicht nur mit Event Storming und der Identifikation von Bounded Contexts zu tun hat, sondern auch in Detailfragen der Implementierung sehr hilfreiche Leitlinien bieten kann. Solche Leitlinien werden in Form von Patterns und Antipatterns anhand von Code und UML-Beispielen ausführlich erläutert. Aus dem Inhalt: - Supple Design – Evansʼ Prinzipien - Ontologie – Abbildung der Welt in Software - Semantik – Abbildung sprachlicher Konzepte in Software - Konzeptuelle Räume – kognitive Grundlagen der Konzeptbildung - Die (lästige) Realität – Fallstricke und Stolpersteine Das Buch bietet sowohl für DDD-Enthusiasten und Softwaremodellierer als auch für Business-Analysten und Architekten neue, spannende Konzepte. Es erweitert den Werkzeugkasten eines jeden Entwicklers.
Datenvisualisierung im praktischen Einsatz
Datenvisualisierungen meisterhaft gestalten - Optimieren Sie Ihre Visualisierungen mit Farbtheorie und Typografie - Setzen Sie universelle Designprinzipien um - Erstellen Sie interaktive und überzeugende Visualisierungen Dieses Buch vermittelt zentrale Designkonzepte für die Erstellung klarer und ansprechender Datenvisualisierungen. Desirée Abbott konzentriert sich dabei auf die universelle Anwendung von Farbtheorie, Typografie und Interaktivität, ohne in technische Details oder Programmiersprachen abzutauchen. Sie lernen, wie Sie Visualisierungen für verschiedene Zielgruppen gestalten und sowohl Funktionalität als auch ästhetische Ansprüche berücksichtigen. Viele Praxisbeispiele sowie ein größeres, abschließendes Projekt helfen Ihnen, eigene Visualisierungen strukturiert umzusetzen. Grundlegende Designprinzipien stehen im Mittelpunkt und die Vorteile, klare und verständliche Visualisierungen zu priorisieren, werden immer wieder durch konkrete Beispiele veranschaulicht. Dabei legt die Autorin einen besonderen Fokus auf barrierefreie Designs. Sie lernen außerdem, wie Sie die Datenkommunikation verbessern, und profitieren von Desirée Abbotts Erfahrung und Ratschlägen aus ihrem Arbeitsalltag
The Road to the European Union's General Data Protection Regulation
This book offers a policy analysis of the emergence of the General Data Protection Regulation (GDPR) through the lens of John Kingdon’s Multiple Streams Framework. Drawing on 32 expert interviews with key stakeholders—including EU institution representatives (such as trilogue negotiators), member states, industry leaders, NGOs, and journalists—the author provides a deep dive into the decision-making process behind the regulation. Additionally, the study examines 462 position papers from the EU Commission’s consultation phases (2009–2011) to uncover the factors that shaped the adoption of the GDPR. At its core, this work explores the ‘window of opportunity’ that enabled the regulation's adoption.Introduction.- Theoretical Framework.- Methodology.- Tracing Data Protection: National, International, and EU Milestones.- The Road to the GDPR: The European Problem Stream.- The Road to the GDPR: The European Policy Stream.- The Road to the GDPR: The European Political Stream.- The Policy Entrepreneurs.- The Window of Opportunity.- Conclusions.
The Unit Testing Practice Cookbook
Master unit testing with the .NET framework by observing examples of best practices. After reading this book, you will feel confident and prepared to approach most situations that a developer will encounter on .NET and ASP.NET Core applications.Learn the best tools to practice effective unit testing, how to architect your code so that it is easily testable, and improve your code coverage. This book is packed with concrete case studies selected from the real-world experiences of a veteran developer, especially when it comes to legacy code.After reading _The Unit Testing Practice Cookbook_, you will be able to approach unit testing with confidence and make your .NET applications as reliable as possible.WHAT YOU WILL LEARN* Master unit testing practice* Architect your applications efficiently to make your code easily testable* Use the best tools for unit testing* Automate your unit testsWHO THIS BOOK IS FORThis book is intended for any developer level wishing to master unit tests with the Microsoft .NET Framework.ANTHONY GIRETTI is a passionate developer with twenty years of experience who loves to learn new technologies. He is an eight-time Microsoft MVP and became a certified MCSD in 2016. He is currently a senior full-stack developer at Marchex in Toronto, Canada. As a specialist in .NET, his expertise in IT and his passion for sharing his knowledge allows him to help developers excel at their web projects. He loves to deal with performance constraints, high availability, and optimization challenges.Chapter 1: Introducing Unit Testing Practice.- Chapter 2: Clean Code & Clean Architecture for Easy Unit Testing.- Chapter 3: Learning the Best Practices with the Best Tools.- Chapter 4: Unit Test .NET applications.- Chapter 5: Automating Unit Tests.- Chapter 6: Case Study.
Information Security and Privacy Quick Reference
A FAST, ACCURATE, AND UP-TO-DATE DESK REFERENCE FOR INFORMATION SECURITY AND PRIVACY PRACTITIONERS EVERYWHEREInformation security and privacy roles demand up-to-date knowledge coming from a seemingly countless number of sources, including several certifications—like the CISM, CIPP, and CISSP—legislation and regulations issued by state and national governments, guidance from local and industry organizations, and even international bodies, like the European Union. The Information Security and Privacy Quick Reference: The Essential Handbook for Every CISO, CSO, and Chief Privacy Officer is an updated, convenient, and accurate desk reference for information privacy practitioners who need fast and easy access to the latest guidance, laws, and standards that apply in their field. This book is the most effective resource for information security professionals who need immediate and correct solutions to common and rarely encountered problems. An expert team of writers—Joe Shelley, James Michael Stewart, and the bestselling technical author, Mike Chapple—draw on decades of combined technology and education experience to deliver organized and accessible coverage of:* Security and Privacy Foundations * Governance, Risk Management, and Compliance* Security Architecture and Design* Identity and Access Management* Data Protection and Privacy Engineering* Security and Privacy Incident Management* Network Security and Privacy Protections* Security Assessment and Testing* Endpoint and Device Security* Application Security* Cryptography Essentials* Physical and Environmental Security* Legal and Ethical Considerations* Threat Intelligence and Cyber Defense* Business Continuity and Disaster RecoveryInformation Security and Privacy Quick Reference is a must-have resource for CISOs, CSOs, Chief Privacy Officers, and other information security and privacy professionals seeking a reliable, accurate, and fast way to answer the questions they encounter at work every single day. Introduction xiii1 SECURITY AND PRIVACY FOUNDATIONS 1Security 101 1Confidentiality, Integrity, and Availability (CIA) 3Disclosure, Alteration, and Destruction (DAD) 4Authentication, Authorization, and Accounting (AAA) 5Privacy in the Modern Era 6Foundational Privacy Principles 8Security and Privacy Frameworks 11Security and Privacy Policies: Creation and Enforcement 14Establishing Security Awareness Programs 16Security Strategies 192 GOVERNANCE, RISK MANAGEMENT, AND COMPLIANCE 23The Role of Governance in Security and Privacy 23Key Regulations and Standards 26Regulatory Compliance 29Building and Managing a Risk Management Framework 32Managing Third-Party Risks and Vendor Assessments 353 SECURITY ARCHITECTURE AND DESIGN 39Principles of Secure Design 39Security Operations Foundations 42Ensuring Confidentiality, Integrity, and Availability 44Understanding Security Models 46Implementing Personnel Security 49Applying Protection Mechanisms 52System Resilience and High Availability 544 IDENTITY AND ACCESS MANAGEMENT 57IAM Core Concepts and Principles 57Authentication Methods and Multifactor Authentication 60Role-Based Access Control Versus Attribute-Based Access Control 62Identity Federation and Single Sign-On 65Zero Trust Architecture for IAM 68Identity Governance Life Cycle 71Access Control Attacks 735 DATA PROTECTION AND PRIVACY ENGINEERING 77Data Classification and Labeling 77Data Masking, Tokenization, and Encryption 80Data Loss Prevention Strategies 82Privacy by Design 85Developing a Privacy Program 87Cross-Border Data Transfers and Legal Implications 90Data Subject Rights and Privacy Request Handling 93Data Retention, Archiving, and Secure Disposal 966 SECURITY AND PRIVACY INCIDENT MANAGEMENT 101Incident Response Planning 101Detection and Triage of Security and Privacy Incidents 104Investigating Incidents 106Communication Plans for Incident Response 110Post-Incident Review and Lessons Learned 113Privacy Breach Notifications and Regulatory Reporting 1177 NETWORK SECURITY AND PRIVACY PROTECTIONS 121Secure Network Components 121Network Segmentation 125System Hardening 128Firewalls and Intrusion Detection/Prevention Systems 130Virtual Private Networks and Secure Access Service Edge 133Secure Wireless Network Management 136Securing the Cloud 139Network Monitoring 1428 SECURITY ASSESSMENT AND TESTING 145Building a Security Assessment and Testing Program 145Vulnerability Management 147Understanding Security Vulnerabilities 150Penetration Testing 153Testing Software 155Training and Exercises 1589 ENDPOINT AND DEVICE SECURITY 163Endpoint Detection and Response 163Network Device Security 166Mobile Device Management 169Understanding Malware 173Malware Prevention 176Patching and Vulnerability Remediation 17810 APPLICATION SECURITY 183Secure Software Development Life Cycle 183DevSecOps and DevOps Integration 187Application Attacks 191Injection Vulnerabilities 192Authorization Vulnerabilities 194Web Application Attacks 196Application Security Controls 198Coding Best Practices 20111 CRYPTOGRAPHY ESSENTIALS 205Core Cryptography Concepts 205Symmetric Cryptography 208Asymmetric Cryptography 210Hash Functions 213Digital Signatures 216Public Key Infrastructure 218Key Management Best Practices 220Cryptographic Attacks 22212 PHYSICAL AND ENVIRONMENTAL SECURITY 227Security and Facility Design 227Physical Access Controls and Monitoring 229Security in Data Centers and Server Rooms 232Environmental Controls 234Implement and Manage Physical Security 23513 LEGAL AND ETHICAL CONSIDERATIONS 237Computer Crime 238Intellectual Property Laws 241Software Licensing Laws 243Import/Export Laws 244Privacy Laws 246Compliance 249Ethical Considerations 25014 THREAT INTELLIGENCE AND CYBER DEFENSE 253Threat Actors 253Threat Vectors 256Threat Intelligence 258Threat Feeds 259Threat Hunting 262Assessing Threat Intelligence 263Cyber Kill Chain and the MITRE ATT&CK 26515 BUSINESS CONTINUITY AND DISASTER RECOVERY 269Project Scope and Planning 270Conducting Business Impact Analysis 273Business Continuity Planning Essentials 277Recovery Planning Essentials 279Disaster Recovery Strategies and Solutions 282Testing and Simulation Exercises 284Index 289
Building Generative AI Agents
The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack.Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It’s why the world’s largest technology companies – like Microsoft, Apple, Google, and Meta – are making enormous investments in this category.While chatbots like ChatGPT, Claude, and Gemini have demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users. These agents already exhibit capabilities such as running test suites, searching the web for documentation, writing software, answering questions based on vast organized information, and performing intricate web-based tasks across multiple domains. They can autonomously investigate cybersecurity incidents and address complex customer support needs. By integrating skills, knowledge bases, planning frameworks, memory, and feedback loops, these systems can handle many tasks and improve over time._Building Generative AI Agents_ serves as a high-quality guide for developers to understand when and where AI agents can be useful, their advantages and disadvantages, and practical advice on designing, building, deploying, and monitoring them.WHAT YOU WILL LEARN* The foundational concepts, capabilities, and potential of AI agents.* Recent innovations in large language models that have enabled the development of AI agents.* How to build AI agents for launching a product, creating a financial plan, handling customer service, and using Retrieval Augmented Generation (RAG).* Essential frameworks for building generative AI agents, including AutoGen, LangChain, LangGraph, CrewAI, and Haystack.* Step-by-step guidance on designing, building, and deploying AI agents.* Insights into the future of AI agents and their potential impact on various industries.WHO THIS BOOK IS FORExperienced software developersTOM TAULLI (@TTAULLI) is a consultant to various companies, such as Aisera, a venture-backed generative AI startup. He has written several books like AI Basics and Generative AI. Tom has also taught IT courses for UCLA, PluralSight and O’Reilly Media. For these, he has provided lessons in using Python to create deep learning and machine learning models. He has also taught on topics like NLP (Natural Language Processing).GAURAV DESHMUKH is a highly skilled technology leader with over a decade of experience driving transformative software engineering initiatives. Throughout his career, he has held pivotal technical roles at prominent companies such as Guidewire, Cigna, Home Depot, American Agricultural Laboratory (AmAgLab), Tata Exlsi, and Amdocs. Gaurav's expertise encompasses a range of cutting-edge technologies, including cloud computing, cybersecurity, software automation, data engineering, and full-stack development with various programming languages and web technology frameworks. He employs his vast knowledge to create innovative solutions that optimize workflows and drive business growth. Gaurav holds both an MBA and a Master's degree in Computer Science, with a focus on data warehousing and computer vision. He is dedicated to elevating the strategic role of software engineering in delivering business value. As a distinguished leader, Gaurav can be reached at gauravkdeshmukh89@gmail.com to explore transformative technical initiatives.Chapter 1: Introduction to Generative AI Agents.- Chapter 2: Generative AI Foundations.- Chapter 3: Types of Agents.- Chapter 4: Open AI GPT Agents and the Assistants API.- Chapter 5: Development Agents.- Chapter 6: Crew AI.- Chapter 7: AutoGen.- Chapter 8: LangChain.- Chapter 9: LangGraph.- Chapter 10: Haystack.- Chapter 11: Takeaways.
Informationssicherheit und Datenschutz - einfach und effektiv (2. Auflg.)
Informationssicherheit und Datenschutz – einfach und effektiv, in 2. Auflage aus dem Mai 2025.Die Bedrohungslage und somit die Herausforderungen für Informationssicherheit und Datenschutz nehmen immer weiter zu. Ein handhabbares wirksames und gleichzeitig entlastendes Instrumentarium ist deshalb für jedes Unternehmen unerlässlich. In diesem Buch werden Ihnen die Normen, gesetzlichen Anforderungen und Umsetzungsempfehlungen für Datenschutz und Informationssicherheit aufgezeigt und Sie erhalten Leitfäden und Hilfestellungen zum Aufbau Ihres Managementsystems.Die ISO 27001 gibt als internationale Norm für Informationssicherheit den Rahmen für das Managementsystem vor. Durch direkt nutzbare lean Best- Practices können Sie einfacher Ihre handhabbare Regulatorik ableiten, die sowohl ISO-27001-konform sind als auch den modernisierten IT-Grundschutz abdecken. Wichtig sind insbesondere die Integration mit dem Datenschutz (EU-DSGVO) sowie die Nutzbarkeit auch für andere Anforderungen und Umsetzungsempfehlungen, wie TISAX oder FAIT.Aus dem Inhalt:Anforderungen an Informationssicherheit und Datenschutz (u.a. ISO 27001, IT-Grundschutz und EU-DSGVO)Integriertes Managementsystem für Informationssicherheit und DatenschutzSchritt-für-Schritt-Leitfaden für den Aufbau des ManagementsystemsBest-Practices wie Schutzbedarfsfeststellung, Risikomanagement, Notfallmanagement, ISMS-Reporting und Sicherheits- und DatenschutzorganisationIntegration von Enterprise Architecture Management, IT-Servicemanagement und Informationssicherheit Vorbereiten für eine ISO-27001-ZertifizierungModernisierten IT-Grundschutz nutzenEnterprise Architecture Management und IT-Servicemanagement als Asset-Lieferant nutzenÜber den Autor Inge Hanschke hat in über 35 Berufsjahren als IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und bei verschiedenen IT-Dienstleistern die IT strategisch und an den Geschäftsanforderungen ausgerichtet und das IT-Management professionalisiert. Die langjährigen Erfahrungen münden in die Methode zum Lean IT-Management (siehe www. Hanschke-Consulting.com).
Lean IT-Management - einfach und effektiv (2. Auflg.)
Lean IT-Management – einfach und effektivIn diesem Buch erhalten Sie als IT-Manager oder CIO Best-Practices zur Bewältigung Ihrer Herausforderungen in der Planung und Steuerung der IT an die Hand. Wählen Sie die für Sie relevanten Bausteine für das Enterprise Architecture Management, Prozessmanagement, Demand Management, Projektportfoliomanagement oder die IT-Organisation und die IT-Steuerung aus. Mithilfe der Leitfäden schaffen Sie für sich ein einfaches und gleichzeitig effektives Instrumentarium, um einerseits die IT-Komplexität zu beherrschen und andererseits die Veränderungen und Weiterentwicklung der IT-Landschaft zielgerichtet zu planen und zu steuern.Mit den praktischen Anleitungen und Best-Practices können Sie schnell die für Sie relevanten Quick-wins verwirklichen und Ihr Lean IT-Management-Instrumentarium Schritt für Schritt wertorientiert gestalten und etablieren.Aus dem Inhalt:Lean IT-ManagementIT-Planung IT-SteuerungEAM und UnternehmensarchitekturProzessmanagementDemand ManagementIT-GovernanceGlossar für das IT-ManagementÜber die Autorin: Inge Hanschke hat in über 35 Berufsjahren als IT-Managerin bei Anwenderunternehmen, in einem ERP-Produkthaus und bei verschiedenen IT-Dienstleistern die IT strategisch und an den Geschäftsanforderungen ausgerichtet und das IT-Management professionalisiert. Die langjährigen Erfahrungen münden in die Methode zum Lean IT-Management (siehe www. Hanschke-Consulting.com).
Computer für Senioren
Computer für SeniorenComputer einschalten, Buch aufschlagen, loslegen! So einfach kann Ihr Start mit Windows 11 sein. Mit diesem Werk bringen Sie sich alles rund um Ihren neuen PC selbst bei, und das ganz ohne Vorwissen: im Internet surfen, E-Mails schreiben, Fotos bearbeiten, Briefe ausdrucken – der Autor Philip Kiefer zeigt Ihnen alle nötigen Schritte am Bild und kommt ohne komplizierte Fachbegriffe aus. Die Anleitungen eignen sich für PC und Notebook gleichermaßen. So macht der Einstieg in die digitale Welt Spaß!Den Computer einrichten, im Internet surfen, E-Mails schreiben, Fotos ansehen, Geräte anschließen u. v. m.Für PC und NotebookAktuell zu Windows 11Aus dem InhaltAlles problemlos einrichtenSich am Bildschirm zurechtfindenPC und Notebook mit Maus und Touchpad bedienenIm Internet surfenE-Mails schreiben und empfangenKamera und Drucker anschließenFotos verschönern und präsentierenTexte schreiben und ausdruckenSicher sein vor Viren & Co.Texte und Bilder geordnet ablegen und schnell auffindenZum Autor:Philip Kiefer zählt zu den renommiertesten Computer-Fachbuchautoren Deutschlands und zeichnet sich besonders durch sein Talent aus, komplexe technische Inhalte leicht verständlich zu vermitteln.
Unleashing AI
UNLEASHING AI: HARNESSING ARTIFICIAL INTELLIGENCE FOR BUSINESS SUCCESS IS A COMPREHENSIVE GUIDE FOR BUSINESS LEADERS, PROFESSIONALS, AND ENTREPRENEURS LOOKING TO UNDERSTAND AND LEVERAGE THE TRANSFORMATIVE POTENTIAL OF AI TECHNOLOGIES.Unleashing AI is an actionable resource that equips the readers with the knowledge and strategies to harness the power of AI for competitive advantage. This book goes beyond the hype and technical jargon, offering a clear and accessible exploration of AI's applications, implementation challenges, and ethical considerations. It reviews the fundamental concepts of AI, its applications across various business functions, and the ethical considerations associated with its deployment. Through detailed chapters and practical insights, readers will gain a deep understanding of how to integrate AI into their business strategies to drive innovation, efficiency, and competitive advantage.By combining expert insights, and practical frameworks, Unleashing AI empowers readers to navigate the AI landscape, identify opportunities, and develop effective AI strategies aligned with their business goals.
Expert Scripting and Automation for SQL Server DBAs
The market is trending toward a much smaller ratio of DBAs to SQL Server instances, but this book will help you meet this new reality by harnessing automation to continue building and maintaining reliable database platform services for your SQL Server enterprise. The book will help you automate your workload and manage more databases and instances with greater ease and efficiency by combining metadata-driven automation with the power of PowerShell. You'll soon be able to automate your new instance-builds and centralize your maintenance.This book walks you through automating the SQL Server build processes and maintenance of multiple instances from a single location, as well as how to use database metadata to drive your automation. With a heavier focus on PowerShell, this 2nd edition highlights modern techniques, such as configuration management. Also new in this edition, you will learn how to use PowerShell modules such as SqlServer and DBATools, which is a popular community module that you can rely on to keep your database estate running smoothly. You will understand the benefits of centralizing maintenance to better keep your enterprise responding with reliable performance to the loads placed upon it by your business. The book helps you become faster and better at what you do for a living, and thus will boost your value within the job market.WHAT YOU WILL LEARN* Automate SQL Server installation and configuration* Apply techniques such as Desired State Configuration to prevent drift on your servers and instances* Increase your value to your organization by automating low-value tasks and focusing your time on the higher-value ones * Take advantage of database metadata to drive automation, allowing you to build intelligent automated routines* Promote and demonstrate how to modernize database maintenance across your enterprise * Apply tools such as PowerShell with modern techniques to increase your value in the job market WHO THIS BOOK IS FORSQL Server DBAs who want to increase their productivity by embracing automationPETER CARTER is a SQL Server expert with two decades of experience developing, administering, and architecting SQL Server platforms and data-tier applications. Peter was awarded an MCC by Microsoft in 2011, and currently leads a team of platform engineers within a major UK company. His passion for SQL Server shows through in everything he does, and has written a number of SQL Server books (Apress), including _Pro SQL Server 2022 Administration_, _SQL Server Advanced Data Types_, _Securing SQL Server,_ and _SQL Server 2019 AlwaysOn_.1. T-SQL Technique For DBAs.- 2. PowerShell Fundamentals.- 3. PowerShell DSC.- 4. Working With The sqlserver Module.- 5. Working With DbaTools.- 6. Automating Installation.- 7. Metadata Driven Automation.- 8. Building an Inventory Database.- 9. Implementing Configuration Management For SQL Server.- 10. Centralizing Maintenance.- 11. Automating Routine Maintenance and Break/Fix Scenarios.
Scaling Enterprise Solutions with Large Language Models
Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. _Scaling Enterprise Solutions with Large Language Models_ will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.WHAT YOU WILL LEARN* Examine the various phases of an AI Enterprise Applications implementation.* Turn from AI engineer or Data Science to an Intelligent Enterprise Architect.* Explore the seamless integration of AI in Big Data Pipelines.* Manage pivotal elements surrounding model development, ensuring a comprehensive understanding of the complete application lifecycle.* Plan and implement end-to-end large-scale enterprise AI applications with confidence.WHO THIS BOOK IS FOREnterprise Architects, Technical Architects, Project Managers and Senior Developers.Arindam Ganguly is an experienced Data Scientist in one of the leading Multi-National Software Service Firm where he is responsible for developing and designing intelligent solutions leveraging his expertise in Artificial Intelligence and Data Analytics. He has over 8 years of experience delivering enterprise products and applications and has proven skill sets in developing and managing a number of software products with various technical stacks.Arindam also is well-versed in developing automation and hyper-automation solutions leveraging automated workflow engines and integrating them with AI. Additionally, he is the author of _Build and Deploy Machine Learning Solutions using IBM Watson_, which teaches how to build artificial intelligent applications using the popular IBM Watson toolkit.Chapter 1_Machine Learning Primer.- Chapter 2_Natural Language Processing Primer.- Chapter_3: RNN to Transformer and BERT.- Chapter_4: Large Language Models.- Chapter_5: Retrieval Augmented Generation.- Chapter_6: LLM Evaluation and Optimization.- Chapter_7: AI Governance and Responsible AI.- Chapter_8: Adding Intelligence to a Large Enterprise Applications.- Chapter_9: Data Pipelines in Generative AI.- Chapter_10: Putting it all Together.
Metaverse Technologies, Security, and Applications for Healthcare
UNLOCK THE TRANSFORMATIVE POTENTIAL OF THE METAVERSE WITH THIS CRUCIAL BOOK THAT DELVES INTO VITAL INFORMATION, SECURITY CONCERNS, AND INNOVATIVE APPLICATIONS THAT CAN SIGNIFICANTLY ENHANCE PERSONALIZED PATIENT CARE IN A RAPIDLY EVOLVING DIGITAL LANDSCAPE.This book explores insights into information security concerns, preventive measures, and their impact on healthcare applications in the Metaverse. The Metaverse is an amplified virtual world derived from the conjunction of virtual and physical space, where users can interact in an augmented world to meet each other virtually and engage in virtual activities that give authentic practice. The healthcare industry will tremendously benefit from this technology by using it to enhance personalized care for clients. Public health experts believe that while much has been said about the potential of the Metaverse in the entertainment and gaming industry, healthcare is another industry where its impact could be transformational. This volume provides a better understanding of healthcare applications in the Metaverse and why digital information security is of major concern. Recently, the world saw the impacts of the COVID-19 pandemic, which physically stopped mobility. Life is taken care of using digital interactions and the movement of information digitally through the Metaverse. This book explores implementation issues and performance evaluations of emerging technologies, along with research results and networking methods to demonstrate the immense benefits of this emerging technology. Readers will find this book:* Provides comprehensive coverage of the Metaverse, including theoretical modeling of Metaverse architecture and protocols, prospective challenges, and information security;* Explores wide applications of the Metaverse and their relevance in healthcare;* Introduces solutions to real-life problems and the future prospects of the Metaverse.AUDIENCEResearchers, students, educators, and healthcare professionals focused on information communication technologies and their benefits in healthcare. AJAY KUMAR VYAS, PHD is an associate professor and the head of the Information and Communication Technology Department at Adani University, India with over 18 years of teaching and research experience. He is the author of over 50 research papers in peer-reviewed international journals and conferences, books, and many book chapters. His research interests include optical devices, AI applications for optics, and 5G and 6G communication. HARLEEN KAUR, PHD is an associate professor and chief investigator in the School of Engineering Sciences and Technology at Jamia Hamdard and a visiting professor at The World Academy of Sciences in Italy. She has published over 100 publications in refereed journals and conferences. Her key research includes information analytics, applied machine learning, and predictive modeling. SOURABH SHARMA, PHD is an associate professor in the School of Engineering at Avantika University with over 12 years of academic experience. He is a life member of the Soft Computing Research Society and provides his support and guidance as a reviewer in various international journals and conferences. His research expertise includes image processing applications, soft computing using optimization algorithms, and information security and mining. BHAVYA ALANKAR, PHD is an associate professor in the Department of Computer Science and Engineering at Jamia Hamdard with over 20 years of teaching and research experience. He has authored and edited several books on very-large-scale integration, machine learning, and Internet of Things. His research interests include VLSI design, cloud computing, deep learning, and reconfigurable computing. Preface xviiAcknowledgments xxiPART I: METAVERSE TECHNOLOGY 11 INTRODUCTION TO METAVERSE FOR HEALTHCARE 3Amit Sharma1.1 Introduction of Metaverse 31.2 Metaverse in Healthcare 51.3 Potential Uses of Metaverse in Healthcare 61.3.1 Telemedicine and Virtual Consultations 61.3.2 Medical Education and Training 71.3.3 Patient Education and Engagement 101.3.4 Mental Health 111.3.5 Rehabilitation 131.4 Technological Infrastructure 141.4.1 Technologies 151.4.2 Wearable and Hardware 181.5 Benefits and Opportunities 221.5.1 Improved Accessibility 221.5.2 Enhanced Patient Experience 231.5.3 Cost Reduction 241.6 Challenges and Risks 251.6.1 Hardware 251.6.2 Ethical Concerns 251.6.3 Privacy and Data Security 261.6.4 Identity Hacking 261.6.5 Addiction and Mental Health 271.6.6 Regulatory and Legal Issues 271.6.7 Currency and Digital Payment 271.6.8 Technical Challenges 281.7 Metaverse’s Prospects for the Future in Healthcare 281.7.1 Predictions for the Future 281.7.2 Potential Technological Advancements 291.7.3 Long-Term Implications 291.8 Conclusion 30References 302 METAVERSE AND VIRTUAL HEALTHCARE: OPPORTUNITIES AND CHALLENGES 37Diksha Dani, Gaurav Agrawal and Abha Kiran Rajpoot2.1 Introduction 382.2 Metaverse Enabling Technologies 402.2.1 Extended Reality 402.2.2 Blockchain 412.2.3 Internet of Things 412.2.4 Spatial and Edge Computing 422.2.5 3D Modeling and Reconstruction 432.2.6 Brain-Computer Interface 432.2.7 Artificial Intelligence 442.2.8 Advanced Wi-Fi Technology 442.3 Application in Healthcare 452.3.1 Metaverse in Surgeries 452.3.2 Education and Training 472.3.3 Medical Diagnosis and Consultation 482.3.4 Metaverse in Pain Management 482.3.5 Medical Health Data Management 492.4 Limitations and Challenges 492.4.1 Privacy and Security 492.4.2 Health Concerns 502.4.3 Dependence on the Internet 502.4.4 Interoperability 512.4.5 High Cost of Technology 512.4.6 Environmental Impact 522.5 Conclusion 52References 533 INNOVATION AND ACCOUNTABILITY: AN ETHICAL PERSPECTIVE ON METAVERSE HEALTHCARE 57Ajay Sudhir Bale3.1 Introduction 583.2 Methodology 593.2.1 Medical Training Metaverse 603.2.1.1 Osso Vr 633.2.1.2 MediVizor 693.2.2 Virtual Clinical Trials 693.3 Discussion 75Conclusion and Future Scope 77References 784 THE HEALTHCARE METAVERSE: UTILIZATIONS, OBSTACLES, AND PROSPECTS 81Shilpa MahajanIntroduction 81Metaverse 82Metaverse Components 83AR/VR Technologies 83Digital Avatars 843D Virtual Environments 85Blockchain and Cryptocurrencies 85Issues Faced by Healthcare Industries 87Applications of Metaverse in Healthcare Industry 89Limitation of AR/VR in Healthcare 90Challenges of Metaverse in Healthcare 94Future Directions 95Conclusion 96References 965 CREATING THE HEALTHCARE OF TOMORROW: THE METAVERSE’S OPPORTUNITIES AND CHALLENGES 101Vedanshee Upadhyay and Sourabh Sharma5.1 Introduction 1025.2 Analysis: Metaverse and Healthcare 1055.3 Discussion and Synthesis 1105.4 Conclusion 112References 1136 THE ROLE OF METAVERSE, AI, AND 5G IN MODERNIZING HEALTHCARE PLATFORMS 121Baby Chithra R., Salna Joy and Ajay Sudhir Bale6.1 Introduction 1226.1.1 Metaverse 1226.1.2 Ai 1246.1.3 5G and Beyond 1266.2 Application of Metaverse in Healthcare 1286.3 5G and AI Integration with Metaverse 1356.4 Conclusion and Future Scope 140References 1427 METAVERSE MAKEOVER: TRANSFORMING PATIENT CARE AND WELLNESS IN VIRTUAL REALMS 147Ritesh Kumar Jain, Ajay Kumar Vyas, Vishnu Agarwal and Paras Kothari7.1 Introduction 1487.2 The Evolution of Healthcare in Virtual Environments 1507.3 Applications of the Metaverse in Patient Care 1537.4 Improving Healthcare Education and Training 1577.5 Challenges and Considerations 1617.6 Future Directions and Opportunities 1657.7 Conclusion 167References 1698 METAVERSE IN MEDICAL TRAINING AND EDUCATION 173Avnish Bora and Sunil Vyas8.1 Introduction 1748.2 Virtual Reality 1808.3 Augmented Reality 1828.4 The Technology 1858.4.1 Augmented Reality (AR) 1858.4.2 Virtual Reality (VR) 1868.5 Market of AR and VR in Healthcare Practice 1878.6 Case Studies 1928.7 Future Directions 1938.8 Conclusion 195References 195PART II: SECURITY FOR METAVERSE 1999 SECURING HEALTHCARE IN THE METAVERSE: ADVANCE DEEP LEARNING ALGORITHMS FOR NON-TATA PROMOTER CLASSIFICATION IN GENOME SEQUENCING 201Om Varshney, Yashasvi Agrawal, Yashasvi Kanathey, Yoginii Waykole, Om Mishra and Harsh S. Dhiman9.1 Introduction 2029.2 Literature Review 2029.3 Methodology 2059.3.1 Preprocessing 2069.3.2 Sequence Modeling 2069.3.3 Convolutional Models 2069.3.4 Combining Sequence Modeling and Feature Extraction 2079.3.5 WaveNet 2079.4 Experimental Setup 2089.4.1 Data Collection 2089.5 Evaluation Metrics 2099.6 Training Parameters 2099.7 Results and Discussion 2109.7.1 Lstm 2109.7.2 Cnn 2119.7.3 ConvoLSTM 2129.7.4 WaveNet 2139.8 Conclusion 216References 21610 DATA PROTECTION REGULATION FOR E-HEALTH DEVICES 219Satwika Dash, Kumash Patel and Manivel Kandasamy10.1 Introduction to E-Health Devices 22010.1.1 Definition of E-Health Devices 22110.1.2 Scope and Trends in E-Health Devices 22110.1.2.1 Scope of E-Health Devices 22110.1.2.2 Trends in E-Health Devices 22210.1.3 E-Health Devices in Healthcare and Important Roles 22310.1.3.1 Patient Empowerment and Self- Management 22310.1.3.2 Healthcare Provider Efficiency and Effectiveness 22310.1.3.3 Healthcare System Optimization 22410.2 Importance of Data Protection Regulations 22410.2.1 Overview of General Data Protection Regulation (gdpr) 22410.2.2 Health Insurance Portability and Accountability Act (HIPAA) 22510.2.3 Accountability Act and Relevant Regulations (CCPA and PIPEDA) 22510.2.4 Important Guidelines and International Standards 22610.3 Security Principles and Data Privacy 22710.3.1 Overview of Data Minimization 22710.3.2 Data Integrity 22710.3.3 Data Confidentiality 22810.3.4 Transparency and Accountability of Data Privacy 22910.3.4.1 Transparency 22910.3.4.2 Rights of Data Security 23010.4 Regulatory Requirements and Compliance Framework 23110.4.1 Data Preprocessing, Retention, and Storage 23110.4.1.1 Data Preprocessing 23110.4.1.2 Data Retention 23110.4.1.3 Data Storage 23110.4.2 Data-Sharing Access 23210.4.3 Risk Assessment of E-Health Devices 23210.4.4 Data Protection and Privacy 23310.4.5 Security Mechanisms for Regulatory Requirements 23410.5 Data Transfer and Standard Regulations 23510.5.1 Global Data Transfer and Legal Frameworks 23510.5.2 Binding Corporate Rules (BCR) 23610.5.3 Standard Contractual Clauses (SCC) 23710.5.4 Decision-Making for Data Transfer 23810.6 Future Data Protection for the E-Health Sector 23910.6.1 Future Technologies and Impact of the E-Health Sector 23910.6.2 Emerging Technologies in Data Protection 24010.6.2.1 AI and Machine Learning in Data Protection 24210.6.2.2 Role of Blockchain in Data Protection Management 24310.6.2.3 Data Protection Regulatory Evaluation 24410.6.3 Security Measures and Ethical Considerations 24510.6.4 Enhancing the Protection Control over Personal Health Data 24610.6.5 Industry Standards in Data-Sharing Mechanisms 24710.6.6 Future Challenges and Solutions for Data Protection 24810.6.7 Summary of the Data Protection 24910.6.7.1 Applications of Data Privacy and Security in E-Health 25010.6.7.2 Future Trends in Data Protection for E-Health 251References 25311 AN EXTENSIVE REVIEW OF CURRENT CYBERSECURITY TRENDS IN THE HEALTHCARE SECTOR 255Manoj Dhawan and Lalit Purohit11.1 Introduction 25611.2 Related Work 25811.3 Findings from the Review 26611.4 Limitations and Suggestions for Future Research 27011.5 Conclusion 272References 27212 IMPLEMENTATION OF METAVERSE TECHNOLOGIES AND ITS SECURITY 277Manas Tiwari, Kamal Kumar Kushwah, Hameed Khan and Ajay Kumar Vyas12.1 Introduction 27812.2 Unpacking the Metaverse and Its Key Ingredients 28012.2.1 Virtual Reality (VR) 28112.2.2 Augmented Reality (AR) 28112.2.3 Mixed Reality (MR) 28112.2.4 Metaverse Enables in Health Space 28112.2.5 Telemedicine and Remote Consultations 28212.3 Patient Engagement and Therapy in the Metaverse 28312.3.1 Virtual Reality Treatment 28412.3.2 Involved Patients and Personalized Therapy 28512.3.3 Establishing Networks and Communities 28512.4 Case Study for the Global Health Initiative 28612.5 Ethical Factors in VR Therapy 28812.5.1 Informed Consent 28812.5.2 Individualized 28812.5.3 Constant Monitoring 28812.6 Technological Challenges and Solutions 28912.6.1 The Metaverse’s Potential for Healthcare 28912.6.2 Prospective Applications in the Future 29012.6.3 Potential Limitations and Challenges 29212.7 Conclusion 292References 29313 METAVERSE TECHNOLOGIES, SECURITY, AND APPLICATIONS FOR HEALTHCARE 297Shilpi Jindal, Shristi Chaudhary, Shalini Sharma, Meenu Rani and Sonia Bajaj13.1 Introduction to the Metaverse 29813.2 Metaverse Technologies: Back to the Basics and Beyond 29813.2.1 Virtual Reality (VR) and Augmented Reality (AR) 29813.2.2 Blockchain and Decentralized Technologies 29913.2.3 AI and ml 29913.2.4 5G and Edge Computing 29913.2.5 Innovations in Human-Computer Interaction (HCI) 29913.3 Security Challenges in the Metaverse for Healthcare 30013.3.1 Data Privacy and Confidentiality 30013.3.2 Identity Management and Authentication 30013.3.3 Cybersecurity Threats and Attack Vectors 30013.3.4 Data Integrity and Reliability 30113.3.5 Compliance with Regulatory Requirements 301References 30714 LEADING-EDGE KEY MANAGEMENT TECHNIQUES IN THE CRYPTOGRAPHY: THE METAVERSE-DRIVEN STRATEGY 313Devendra Kuril, Manoj Dhawan and Lalit Purohit14.1 Introduction 31414.2 Association of Sections 31514.3 Significant and Consequence of the Leading-Edge Key Management 31514.4 Recommended Approaches 31714.5 An Extremely Efficient Encipher/Decipher Suggested Algorithm 31914.5.1 Essential Key Elements 31914.5.2 Approaches in the Process of Encipher/Decipher 31914.6 Observation and Examination 32114.6.1 Considering an Instance as All Factors Remained Null During Leading-Edge Key Generation 32114.7 Summarization and Future Work 321References 322PART III: APPLICATIONS OF METAVERSE 32515 IMPLEMENTATION OF METAVERSE FOR HEALTHCARE SYSTEM MODELING 327Naureen Afrose, Rideb Chakraborty, Ahana Hazra, Pratibha Bhowmick and Mithun Bhowmick15.1 Introduction 32815.2 Key Technologies of the Metaverse for Healthcare 32915.2.1 Virtual Reality (VR) 32915.2.2 Mixed Reality (MR) 33115.2.3 Extended Reality (XR) 33215.2.4 Augmented Reality (AR) 33415.2.5 Artificial Intelligence (AI) 33515.3 Metaverse Implementation in Healthcare Modeling 33615.3.1 Integrating Healthcare Data Sources: EHRs, Imaging, Demographics, and Facility Layouts 33815.3.2 Patient Pathway Simulation: Optimizing Care Delivery and Patient Flow 34015.3.3 Healthcare Facility Design: Virtual Prototyping for Improved Efficiency 34115.3.4 Epidemiological Forecasting: Simulating Disease Spread and Resource Allocation 34115.4 Benefits of Metaverse for Healthcare System Modeling 34315.4.1 Improved Patient Outcomes 34315.4.2 Better Decision-Making 34415.4.3 Increased Efficiency 34415.5 Challenges and Considerations 34515.6 The Future of Metaverse in Healthcare System Modeling 34615.7 Conclusion 347References 34716 5G SPEEDS FOR METAVERSE HEALTHCARE PROMISES AND CHALLENGES 351Mamta B. Savadatti, Ajay Sudhir Bale, Achyutesh Dixit and Subhashish Tiwari16.1 Introduction 35216.2 5G Network Requirements for Metaverse Healthcare 35416.2.1 Low Latency 35616.2.2 Key Performance Indicators for 5G Healthcare 35716.2.3 High Connection Density 35816.2.4 Reliability 35816.2.5 Architecture of Smart Healthcare System 35916.3 Enabling Metaverse Healthcare Applications with 5G 36116.3.1 Real-Time Patient Monitoring 36216.3.2 High-Fidelity Medical Visualization 36316.3.3 Virtual Collaborative Environments 36416.3.4 Haptic Feedback and Immersion 36516.4 Challenges in 5G Rollout for Healthcare Metaverse 36816.4.1 Network Coverage 36816.4.2 Spectrum Allocation 36916.4.3 Technical Obstacles 37116.5 Risks and Uncertainties 37216.6 Conclusion and Future Directions 373References 37317 INCORPORATING DIGITAL TWIN TECHNOLOGY IN HEALTHCARE: PROSPECTS AND CONSTRAINTS 379Krupa Purohit17.1 Introduction 38017.2 Leveraging Digital Twin Technology to Enhance Patient Care 38117.2.1 Customized Healthcare 38217.2.2 Healthcare Administration and Preventive Treatment 38217.2.3 Training and Planning for Surgery 38317.2.4 Hospital and Healthcare System Administration 38317.3 Prospects and Constraints 38317.3.1 Prospects 38317.3.2 Constraints 38417.4 Healthcare Facilities Utilizing Digital Twins 38517.5 Prospective Avenues for Further Investigation 390References 39118 APPLICATION PERSPECTIVES OF DIGITAL TWIN IN HEALTHCARE USING METAVERSE 393Bablu Kumar Singh and Ajay Kumar Vyas18.1 Introduction 39318.2 Need for Digital Twin for Healthcare 39718.3 Opportunity 39918.4 Applications 39918.5 Metaverse: Challenges and Opportunity 40318.6 Conclusion 404References 40519 OPTIMIZING DHD FOR HEALTHCARE APPLICATIONS IN THE METAVERSE 409Vrunda Patel, Mansvi Patel, Khush Patel and Jignesh Thaker19.1 Introduction 41019.2 Materials Used in Dynamic Holography Display 41119.2.1 Experimental Details 41419.3 How to Train Network Through CNN for the Optimization of Phase-Only Hologram 41619.4 Metaverse Technology in Healthcare with Holographic Display 41919.4.1 Metaverse Interfacing 41919.4.2 Employment of Healthcare Technologies with Metaverse 422References 42720 XAI WITH DIFFERENT METHODS AND APPLICATIONS IN HEALTHCARE 431Mamta Motiramani, Nainsiben Patel and Alok Kumar Singh20.1 Introduction 43220.2 Leveraging Open Data and XAI 43320.2.1 Explainable Open Data 43420.2.2 XAI in Healthcare 43520.3 Knowledge Graph 43620.4 Metaverse Using Immersive Technology 43720.4.1 Technologies for Metaverse Healthcare 43720.5 Deep Learning–Based Medical Image Analysis 43920.6 Dynamic Pruning via XAI 44020.7 Predictive Analytics of Pancreatic Cancer 44120.8 Approach to Interpretable Healthcare Model 44120.9 Challenges 44420.10 Conclusion 446References 446Index 451
ChatGPT & Co. in der Schule
KI als Assistent für LehrkräfteKI-Modelle wie ChatGPT sind bereits Teil des Schulalltags und werden von vielen Schülerinnen und Schülern regelmäßig genutzt. Dieses Buch zeigt Ihnen, wie Sie als Lehrkraft ebenfalls KI praxisnah, produktiv und datenschutzkonform einsetzen können.Praktischer Einsatz im SchulalltagDie Autoren zeigen Ihnen, wie Sie zielführende Anfragen an die KI stellen und so Unterstützung für verschiedene Einsatzzwecke erhalten: von der inhaltlichen Unterrichtsplanung über Vorschläge zu interaktiven Lehrmethoden bis hin zur Korrektur von Texten und Tipps für die Förderung von Schülerinnen und Schülern.Für alle Schulformen und -fächerAlle Praxisbeispiele sind nach Schulformen und -fächern gegliedert, sodass Sie schnell passende Anregungen für Ihren eigenen Unterricht finden. Darüber hinaus werden zentrale Fragen wie die Vermittlung von KI-Kompetenz als Lernziel, moderne Prüfungsformen im KI-Zeitalter sowie ethische Herausforderungen diskutiert.Aus dem Inhalt:Funktionsweise von KIs wie ChatGPTStrategien für den effektiven EinsatzUnterrichtsvorbereitungPrüfungsvorbereitung und KorrigierenEinsatz von KI im UnterrichtPraxisbeispiele für Grundschule, Mittelschule sowie Realschule und GymnasiumKonkrete Beispiele für den Einsatz für verschiedene Fächer: DeutschEnglisch, Spanisch, FranzösischGeschichte & ErdkundeMathematik & NaturwissenschaftenKunst & Musiku.v.m.KI-Kompetenz als LernzielPrüfungsformen undHausaufgaben im KI-ZeitalterRechtliche Aspekte und DatenschutzÜber die Autoren:Barbara Engelke hat ein Staatsexamen in Germanistik und Theologie und arbeitet als Lehrerin sowie Fachbetreuerin für Deutsch an einem bayerischen Gymnasium. Es ist ihr ein Anliegen, in ihrer pädagogischen Tätigkeit junge Menschen an neue Herausforderungen heranzuführen und sie für die Zukunft mit den nötigen Kompetenzen auszustatten.Ulrich Engelke hat das erste Staatsexamen in Germanistik und Anglistik sowie einen Magister mit Schwerpunkt Linguistik. Heute ist er als Unternehmensberater für Onlinemarketing mit Schwerpunkt SEO tätig. Sein besonderes Interesse gilt technischen Innovationen und deren ökonomischen wie gesellschaftlichen Auswirkungen.
Anwendungsbezogenes Projektmanagement
Die Intention dieses Buches ist es, Projektleitern zu helfen handwerkliche Fehler im Projektmanagement zu vermeiden und sie in ihrer Professionalität zu unterstützen. Neben einem ausführlichen IT-Praxisfall sind Mustervorlagen eines Projektauftrags sowie eines Projektabschlussberichts enthalten. Mit der zweiten Auflage wurden die Facetten des Projektmanagements erweitert und um agiles Projektmanagement ergänzt. Gleichzeitig dient das Buch aber auch als Grundlage für Hochschulkurse zum Projektmanagement. Es ist durch die Kombination aus langjähriger, intensiver Projektleitererfahrung sowie akademischer Betrachtung des Themas in Vorlesungen an verschiedenen Universitäten und Hochschulen entstanden.CHRISTIAN BÄR ist Professor für Wirtschaftsinformatik mit Schwerpunkt Projektmanagement und verbindet, als Chief Technology Officer der DATEV eG, die Lehre mit der Praxis.JENS FIEGE ist Geschäftsführer bei der b4value.net GmbH. Er hat umfassende Erfahrungen im klassischen und agilen Projektmanagement und war Lehrbeauftragter der DHBW Mannheim.MARKUS WEIẞ ist als Product Owner bei der DATEV eG für die Steuerung eines Softwareentwicklungsbereichs verantwortlich und daneben als Dozent tätig.MARTIN ERTEL ist als Projektleiter für den Aufbau eines Entwicklungsstandorts in Polen und als Staffing Manager für das Staffing von Entwicklungsprojekten bei der DATEV eG verantwortlich.Teil I: Pragmatische und methodische Vorgehensweise.-Begriffsbestimmungen und Definitionen.- Projektwürdigkeitsanalyse.- Projektorganisation und Durchführung.- SMART formulierter Projektauftrag.- Rahmenbedingungen für die Projektsteuerung.- Projektkoordination.- Projektcontrolling.- Projektabschluss.- Teil II: Praxisfall.- Das Softwareprojekt bei der Muster GmbH.- Index.
Artificial Intelligence in Remote Sensing for Disaster Management
INVEST IN ARTIFICIAL INTELLIGENCE IN REMOTE SENSING FOR DISASTER MANAGEMENT TO GAIN INVALUABLE INSIGHTS INTO CUTTING-EDGE AI TECHNOLOGIES AND THEIR TRANSFORMATIVE ROLE IN EFFECTIVELY MONITORING AND MANAGING NATURAL DISASTERS.Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications. NEELAM DAHIYA, PHD is an assistant professor in the Department of Computer Applications at Chitkara University, Punjab, India. She has authored over ten articles in international journals and filed more than ten patents with the Indian Patent Office, five of which were granted. She has also reviewed various articles for renowned journals and conferences. Her research interests include remote sensing, digital image processing, deep learning, and hyperspectral imaging. GURWINDER SINGH, PHD is an associate professor at the Institute of Computing at Chandigarh University, India. He has internationally published over 35 articles, conference papers, and book chapters, as well as one patent. He also serves as a member of the International Society for Photogrammetry and Remote Sensing and the Indian Society of Remote Sensing. His research interests include remote sensing, digital image processing, agricultural land use classification, machine learning, and deep learning. SARTAJVIR SINGH, PHD is a professor and the Associate Director for the University Institute of Engineering at Chandigarh University, Punjab, India. He has filed over 50 patents with the Indian Patent Office, with over half granted. He has authored over 50 articles in international journals and edited various proceedings for conferences and symposia in addition to serving as an editor for several international journals. His research interests include electronics, remote sensing, and digital image processing. APOORVA SHARMA is a digital analyst and assistant professor in the Department of Computer Science and Engineering, Chandigarh University, Punjab, India. She has published three articles in internationally reputed journals and conferences and contributed to innovative wearable and geospatial technologies. Her research interests include remote sensing, digital image processing, agriculture and cryosphere studies, machine learning, and deep learning.