Machine Unlearning: Theory and Applications in Networking (Hardcover)

Protecting Location Privacy in the Era of Big Data : A Technical Perspective (Paperback)

1. Introduction? 2. Location-based Services and Location Privacy Protection? 3. Dynamic Statistical Publishing and Privacy Protection of Location-based Big Data via Adaptive Sampling and Grid Clustering? 4. Localized Location Privacy Protection based on Optimized Random Response? 5. Achieving Location Privacy Protection via Geo-indistinguishability and Location Semantics? 6. Conclusion

Cybercrime and the Law : An Analysis of Legal Governance in Europe (Paperback)

Preface;  Chapter 1: Technical aspects of cybercrime;  Chapter 2. Basic information;  Chapter 3: Cybercrime in the law of the Council of Europe (part I) ? Convention on Cybercrime;  Chapter 4: Cybercrime in the law of the Council of Europe (Part II);  Chapter 5: Cybercrime in European Union Law;  Chapter 6: Cyberterrorism in European Union law;  Conclusion: what the future may bring

Cybersecurity and Data Science Innovations for Sustainable Development of HEICC : Healthcare, Education, Industry, Cities, and Communities (Paperback)

1. Data Science in Healthcare 4.0: An Introduction, 2. Essentials of Business Intelligence: Concepts and Their Applications, 3. Machine Learning-Powered Smart Healthcare: A Revolution, 4. Machine Learning-Based Techniques for Predictive Diagnostics in Healthcare, 5. The Dark Side of Smart Healthcare: Cyber Threat Landscape Analysis, 6. Cybersecurity Threat Landscape of Smart and Interconnected Healthcare Systems, 7. Strengthening Healthcare Security and Privacy: The Power of Cybersecurity and Data Science, 8. Enhancing Security for Smart Healthcare Systems and Infrastructure with Artificial Intelligence, 9. A Transfer Learning?Based Predictive Model for Diabetic Retinopathy to Defend against Adversarial Attacks, 10. Application of Privacy?Preserving Methodology to Enhancing Healthcare Data Security, 11. A Comprehensive Review on Promoting Trust and Security in Healthcare Systems through Blockchain, 12. A Literature Study on Blockchain?Based Access Control for Electronic Health Records, 13. Blockchain and IoTA Tangle for Healthcare Systems, 14. Education 4.0: Unraveling the Data Science Connection, 15. AI-Powered Digital Solutions for Smart Learning: Revolutionizing Education, 16. Safeguarding Digital Learning Environments in the Era of Advanced Technologies, 17. Deep Learning?Based Intrusion Detection for Online Learning Systems, 18. Securing Education Technologies Using Blockchain, 19. Harnessing Language Models and Machine Learning for Rancorous URL Classification, 20. Essentials of Cybersecurity Education to Mitigate Industrial Sector Challenges, 21. Data Science in Industry Innovations: Opportunities and Challenges, 22. Machine Learning for Reliable Industrial Operations: Predictive Maintenance, 23. Machine Learning for Power Quality Analysis in Railway Yards: On Track for Quality, 24. Simulation of Smart Trolleys for Supermarket Automation: An Experimental Study Using Queuing Theory, 25. Securing the Software Package Supply Chain for Critical Systems, 26....


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Leveraging Blockchain Technology : Governance, Risk, Compliance, Security, and Benevolent Use Cases (Paperback)

Part 1: Blockchain data structure, governance, risk, privacy, security and digital assets considerations. 1. Blockchain data and architecture considerations. 2. Blockchain governance considerations. 3. Operational risks in blockchain technology. 4. Privacy considerations in blockchain technology. 5. Blockchain security considerations. 6. Digital assets valuation and financial reporting. Part 2: Blockchain benevolent use cases. 7. The use of self-sovereign identity in blockchain systems. 8. Enhancing voting/e-voting through blockchain. 9. Humanitarian aid and disaster relief using blockchain. 10. Enhancing healthcare in underserved regions through blockchain. 11. Non-traditional banking services for the underserved. 12. Use of blockchain in Islamic finance.

Strategic Internal Auditing in the Digital and ESG Era (Hardcover, 1)

The Internal Audit Framework. 2. From Compliance to Foresight: The Digital Transformation of Internal Audit. 3. Auditing ESG in Practice: Governance, Data Reliability, and Digital Audit Tools. 4. Internal Auditing in the Public Sector. 5. Cybersecurity Audits in Regulated Industries: Pressures and Support. 6. Auditing Cybersecurity Risks. 7. The Strategic Role of Internal Audit in Fraud Risk Management in Public Listed Companies: A Governance- And Controls-Based Approach. 8. Internal Audit and Fraud Risk Assessment in Government. 9. Continuous Auditing and Continuous Monitoring (CA/CM). 10. Future-Proofing Internal Auditing in ESG Governance: Insights from the 5Ps “Gardener of Governance” Model. 11. The Future of ESG Assurance in Internal Auditing: A Fraud Aware, Standards-Aligned Practitioner Guide. Glossary.

Artificial Intelligence Security and Privacy: Third International Conference, Ais&p 2025, Guangzhou, China, December 5-7, 2025, Proceedings (Paperback)

Cyber Security Digital Forensics v2 (Paperback)

Understanding Cybersecurity for Smart Contracts: Challenges, Strategies, and Trends (Paperback)

AI and Nlp Methods for Privacy Policy Analysis: Rule-Based Systems to Large Language Models (Hardcover)

AI Security: The Most Dangerous Cyber-Attacks on Artificial Intelligence (Hardcover)

Cloud Compliance Essentials : How to Build and Maintain Market Access in the B2B CSP Ecosystem (Paperback)

PART 1: The Big Picture. Introduction. Chapter 1: B2B CSP Go-to-market Strategy. Chapter 2: Audit 101 for CSP Leaders: how to audit proof your business. Chapter 3: Governance and Stakeholder Management. Chapter 4: The Cloud Compliance Practitioner. PART 2: Standards - Methods - and Methodologies. Chapter 5: Cloud Certifications and Assurance Schemes. Chapter 6: Strategic Audit Vendor Management. Chapter 7: Web Marketing and Trust Portals. PART 3: Implementation and Operations. Chapter 8: Establishing the ISMS via ISO 27001 with ISO 42001 AI Governance. Chapter 9: Planning and Timelines. Chapter 10: Putting It All Together.

Cloud Compliance Essentials : How to Build and Maintain Market Access in the B2B CSP Ecosystem (Hardcover)

PART 1: The Big Picture. Introduction. Chapter 1: B2B CSP Go-to-market Strategy. Chapter 2: Audit 101 for CSP Leaders: how to audit proof your business. Chapter 3: Governance and Stakeholder Management. Chapter 4: The Cloud Compliance Practitioner. PART 2: Standards - Methods - and Methodologies. Chapter 5: Cloud Certifications and Assurance Schemes. Chapter 6: Strategic Audit Vendor Management. Chapter 7: Web Marketing and Trust Portals. PART 3: Implementation and Operations. Chapter 8: Establishing the ISMS via ISO 27001 with ISO 42001 AI Governance. Chapter 9: Planning and Timelines. Chapter 10: Putting It All Together.

Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches, and New Findings (Hardcover)

Privacy in the Age of Social Media: Beyond the Like (Hardcover, 1)

Introduction?Chapter 1?Chapter 2?Chapter 3?Chapter 4?Chapter 5?Chapter 6?Chapter 7?Chapter 8?Chapter 9?Chapter 10

Privacy in the Age of Social Media: Beyond the Like (Paperback, 1)

Introduction?Chapter 1?Chapter 2?Chapter 3?Chapter 4?Chapter 5?Chapter 6?Chapter 7?Chapter 8?Chapter 9?Chapter 10

The Deepfake Dilemma : Technology, Truth, and Forensic Integrity (Paperback)

Chapter 1: The Rise of Deepfakes and Its Impact on Society. 1.1 Definition and scope of fabricated media and deepfakes. 1.2 Evolution of deepfake technology. 1.3 Societal and criminal impact of deepfakes. Summary. Chapter 2: The Science Behind Deepfakes. 2.1 Deepfake technologies. 2.2 Deepfake creation: tools and processes. 2.3 AI and deepfake acceleration. Summary. Chapter 3: The Role of Digital Forensics in the Age of Deepfakes and AI. 3.1 Overview of digital forensics in the age of AI-generated content. 3.2 Deepfake Detection: Techniques and Indicators. 3.3 Forensic Tools for Deepfake Detection and Analysis. 3.4 Procedural Challenges in Forensic Practice. 3.5 Emerging Preventative Technologies. Summary. Chapter 4: Case Studies: Deepfakes in Criminal Investigations. 4.1 Criminal Uses of Deepfakes: Fraud, Extortion, and Harassment. 4.2 Deepfakes as Evidence: Forensic Response and Courtroom Impact. 4.3 High-Profile Cases of Media Manipulation. Summary. Chapter 5: Challenges for Digital Forensics and Law Enforcement. 5.1 Challenges for policing sector and digital forensic units. 5.2 Technical challenges in detecting deepfakes. 5.3 Forensic Readiness in an Era of AI-Driven Crime. Summary. Chapter 6: Legal and Ethical Implications of Deepfake Technology. 6.1 Legal and ethical implications of deepfake technology. 6.2 Admissibility and reliability of deepfake evidence in court. 6.3 Explainability and the legal use of AI in deepfake detection. 6.4 Key Risks and Policy Recommendations. Summary. Chapter 7: Combating the Deepfake Threat: Tools and Strategies. 7.1 Emerging technologies for deepfake detection and authentication. 7.1.1 Methods and Approaches. 7.2 Tooling Landscape: Enterprise and Open-Source Options. 7.3 Best practices for forensic and investigative response. 7.4 Collaborative efforts between law enforcement, tech companies, and policymakers. Summary. Chapter 8: The Future of Digital Forensics in the Age of Deepfakes. 8.1...


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The Deepfake Dilemma : Technology, Truth, and Forensic Integrity (Hardcover)

Chapter 1: The Rise of Deepfakes and Its Impact on Society. 1.1 Definition and scope of fabricated media and deepfakes. 1.2 Evolution of deepfake technology. 1.3 Societal and criminal impact of deepfakes. Summary. Chapter 2: The Science Behind Deepfakes. 2.1 Deepfake technologies. 2.2 Deepfake creation: tools and processes. 2.3 AI and deepfake acceleration. Summary. Chapter 3: The Role of Digital Forensics in the Age of Deepfakes and AI. 3.1 Overview of digital forensics in the age of AI-generated content. 3.2 Deepfake Detection: Techniques and Indicators. 3.3 Forensic Tools for Deepfake Detection and Analysis. 3.4 Procedural Challenges in Forensic Practice. 3.5 Emerging Preventative Technologies. Summary. Chapter 4: Case Studies: Deepfakes in Criminal Investigations. 4.1 Criminal Uses of Deepfakes: Fraud, Extortion, and Harassment. 4.2 Deepfakes as Evidence: Forensic Response and Courtroom Impact. 4.3 High-Profile Cases of Media Manipulation. Summary. Chapter 5: Challenges for Digital Forensics and Law Enforcement. 5.1 Challenges for policing sector and digital forensic units. 5.2 Technical challenges in detecting deepfakes. 5.3 Forensic Readiness in an Era of AI-Driven Crime. Summary. Chapter 6: Legal and Ethical Implications of Deepfake Technology. 6.1 Legal and ethical implications of deepfake technology. 6.2 Admissibility and reliability of deepfake evidence in court. 6.3 Explainability and the legal use of AI in deepfake detection. 6.4 Key Risks and Policy Recommendations. Summary. Chapter 7: Combating the Deepfake Threat: Tools and Strategies. 7.1 Emerging technologies for deepfake detection and authentication. 7.1.1 Methods and Approaches. 7.2 Tooling Landscape: Enterprise and Open-Source Options. 7.3 Best practices for forensic and investigative response. 7.4 Collaborative efforts between law enforcement, tech companies, and policymakers. Summary. Chapter 8: The Future of Digital Forensics in the Age of Deepfakes. 8.1...


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Privacy-Preserving Record Linkage: Theory, Applications, and Challenges (Hardcover)

Electric Sheep, Encrypted Dreams : A Field Guide to Defending Humanity in the Age of Neuro-Clouds, Quantum Hackers and Ethical Black Holes (Paperback)

Prologue: Welcome to the Future (It Forgot 2-FA).?ACT I: MIND & MACHINE: Chapter 1 - When Organs Have IP Addresses. Chapter 2 - Your Brain Is Now a Wi-Fi Hotspot. Chapter 3 - The AI That Mistook Itself for God.?ACT II: BIO & BEYOND: Chapter 4 - Programmable Matter & the Art of Sabotage. Chapter 5 - Robots, Cobots, and Why Your Vacuum Hates You. Chapter 6 - Cities That Spy Back.?ACT III: AUTONOMOUS & AMBIENT: Chapter 7 - Power Games. Chapter 8 - Space: The Hacked Frontier. Chapter 9 - Weather Wars. Chapter 10 - Food, Water, and Other Things You Can't Hack. Chapter 11 - Human 2.0.?Epilogue: Wednesday (Or: How I Learned to Stop Worrying and Love the Towel).?Appendices: Appendix A - The Bureaucrat's Guide to Apocalypse Management (QT Form Reference). Appendix B - The Quantum Apocalypse Survival Guide (PQC Migration Framework). Appendix C - Further Reading & References. Appendix D - Glossary of Terms.

Electric Sheep, Encrypted Dreams : A Field Guide to Defending Humanity in the Age of Neuro-Clouds, Quantum Hackers and Ethical Black Holes (Hardcover)

Prologue: Welcome to the Future (It Forgot 2-FA).?ACT I: MIND & MACHINE: Chapter 1 - When Organs Have IP Addresses. Chapter 2 - Your Brain Is Now a Wi-Fi Hotspot. Chapter 3 - The AI That Mistook Itself for God.?ACT II: BIO & BEYOND: Chapter 4 - Programmable Matter & the Art of Sabotage. Chapter 5 - Robots, Cobots, and Why Your Vacuum Hates You. Chapter 6 - Cities That Spy Back.?ACT III: AUTONOMOUS & AMBIENT: Chapter 7 - Power Games. Chapter 8 - Space: The Hacked Frontier. Chapter 9 - Weather Wars. Chapter 10 - Food, Water, and Other Things You Can't Hack. Chapter 11 - Human 2.0.?Epilogue: Wednesday (Or: How I Learned to Stop Worrying and Love the Towel).?Appendices: Appendix A - The Bureaucrat's Guide to Apocalypse Management (QT Form Reference). Appendix B - The Quantum Apocalypse Survival Guide (PQC Migration Framework). Appendix C - Further Reading & References. Appendix D - Glossary of Terms.

Privacy and Security in AI-Driven Mental Health Apps (Hardcover, 1)

PART I: FOUNDATIONS AND CONTEXT. Chapter 1: The Role of Artificial Intelligence in Modern Mental Health Care. Abstract. Introduction. Literature Review. Introduction to AI in Healthcare. Evolution of AI in Mental Health and Psychiatry. Global Mental Health Gaps and Digital Opportunities. AI in Diagnostics, Therapy, and Monitoring. Benefits and Limitations of AI-Based Interventions. Cultural, Societal, and Ethical Implications. Patient Trust, Engagement, and Acceptance. Research Challenges and Future Outlook. Summary. References. Chapter 2: The Digital Transformation of Mental Health Services. Abstract. Introduction. Literature Review. From Traditional Therapy to Digital Platforms. Growth of Telepsychiatry and Mental Health Apps. Role of Wearables and IoT in Emotional Sensing. Digital Therapeutics (DTx): Evidence and Impact. Personalization through AI and Data Analytics. Addressing the Digital Divide. Accessibility Challenges in Low-Resource Settings. Integration with Clinical Psychology and Psychiatry. Future Trends in Digital Ecosystems. Summary. References. Chapter 3: Data Privacy and Security in AI-Driven Mental Health Ecosystems. Abstract. Introduction. Literature Review. Sensitivity of Mental Health Data. Data Lifecycle: Collection to Use. Common Vulnerabilities and Threats. Privacy?Accessibility Trade-offs. Ownership, Consent, and Data Governance. Encryption and Access Control Mechanisms. Data Minimization and Retention Policies. Privacy Enhancements in Therapeutic Platforms. Policy Integration and Recommendations. Summary. References. Chapter 4: Ethical, Legal, and Regulatory Frameworks in AI Mental Health. Abstract. Introduction. Literature Review. Ethical Foundations (Beneficence, Justice, Non-Maleficence). Legal Standards and Case Studies. Informed Consent and Digital Autonomy. Transparency in Algorithmic Decision-Making. Major Regulatory Frameworks: GDPR, HIPAA, etc. Data Localization and Sovereignty Issues. Oversight, Auditing, and Compliance Model...


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Crypto-Forensics: A Useful Direction to Digital Evidence Recovery (Hardcover)

Pers?lichkeitsschutz Im Metaversum: Die Wirkung Ziviler Pers?lichkeitsrechte in Avatarbasierten Virtuellen Welten (Paperback)

Das Recht Auf Informationelle Selbstbestimmung in Der Corona-Pandemie: Anforderungen Des Vorbehalts Des Gesetzes Und Bestimmtheitsgebots an Kontaktdat (Paperback)