Cybersecurity Defensive Walls in Edge Computing dives into the creation of robust cybersecurity defenses for increasingly vulnerable edge devices. This book examines the unique security challenges of edge environments, including limited resources and potentially untrusted networks, providing fundamental concepts for real-time vulnerability detection and mitigation through novel system architectures, experimental frameworks, and AI/ML techniques. Researchers and industry professionals working in cybersecurity, edge computing, cloud computing, defensive technologies, and threat intelligence will find this to be a valuable resource that illuminates critical aspects of edge-based security to advance theoretical analysis, system design, and practical implementation of defensive walls. With a focus on fast-growing edge application scenarios, this book offers valuable insights into strengthening real-time security for the proliferation of interconnected edge devices.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. ix 7. About the editors - p. xiii 8. Preface - p. xvii 9. Book keywords - p. xxi 10. Chapter 1. Foundations of cybersecurity and edge computing - p. 1 11. Chapter 2. Architectural foundations for adaptive security in edge computing systems - p. 21 12. Chapter 3. Advanced adversarial defense mechanisms in edge computing - p. 63 13. Chapter 4. Microsegmentation for containerized microservices in edge computing - p. 85 14. Chapter 5. XGBoost and random forest–based intrusion detection system - p. 105 15. Chapter 6. Reidentification risks in distributed differentially private data leveraging large language models - p. 123 16. Chapter 7. Cutting-edge advances in edge computing–assisted optical wireless communications for 6G networks - p. 155 17. Chapter 8. Fortifying the edge: zero-knowledge proofs for scalable block verification in NEAR Protocol - p. 173 18. Chapter 9. Detection of hardcoded login credentials via network function - p. 221 19. Chapter 10. Secure distributed machine learning for edge computing - p. 245 20. Chapter 11. Defensive walls against sophisticated ML-orchestrated attacks in edge computing - p. 275 21. Chapter 12. Biometric-based access control mechanism for edge computing resources and services - p. 317 22. Chapter 13. Silent threat: RAT attack strategy and real case analysis - p. 337 23. Chapter 14. Application of blockchain for secured edge computing system - p. 359 24. Chapter 15. Support vector machines for enhanced vulnerability management and encryption in edge computing - p. 395 25. Chapter 16. Social and ethical solutions to defeat cyber attacks in edge computing - p. 431 26. Chapter 17. Legal framework and regulatory policies for cyber edge computing systems - p. 467 27. Index - p. 515
Cybersecurity Defensive Walls in Edge Computing dives into the creation of robust cybersecurity defenses for increasingly vulnerable edge devices. This book examines the unique security challenges of edge environments, including limited resources and potentially untrusted networks, providing fundamental concepts for real-time vulnerability detection and mitigation through novel system architectures, experimental frameworks, and AI/ML techniques. Researchers and industry professionals working in cybersecurity, edge computing, cloud computing, defensive technologies, and threat intelligence will find this to be a valuable resource that illuminates critical aspects of edge-based security to advance theoretical analysis, system design, and practical implementation of defensive walls. With a focus on fast-growing edge application scenarios, this book offers valuable insights into strengthening real-time security for the proliferation of interconnected edge devices.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. ix 7. About the editors - p. xiii 8. Preface - p. xvii 9. Book keywords - p. xxi 10. Chapter 1. Foundations of cybersecurity and edge computing - p. 1 11. Chapter 2. Architectural foundations for adaptive security in edge computing systems - p. 21 12. Chapter 3. Advanced adversarial defense mechanisms in edge computing - p. 63 13. Chapter 4. Microsegmentation for containerized microservices in edge computing - p. 85 14. Chapter 5. XGBoost and random forest–based intrusion detection system - p. 105 15. Chapter 6. Reidentification risks in distributed differentially private data leveraging large language models - p. 123 16. Chapter 7. Cutting-edge advances in edge computing–assisted optical wireless communications for 6G networks - p. 155 17. Chapter 8. Fortifying the edge: zero-knowledge proofs for scalable block verification in NEAR Protocol - p. 173 18. Chapter 9. Detection of hardcoded login credentials via network function - p. 221 19. Chapter 10. Secure distributed machine learning for edge computing - p. 245 20. Chapter 11. Defensive walls against sophisticated ML-orchestrated attacks in edge computing - p. 275 21. Chapter 12. Biometric-based access control mechanism for edge computing resources and services - p. 317 22. Chapter 13. Silent threat: RAT attack strategy and real case analysis - p. 337 23. Chapter 14. Application of blockchain for secured edge computing system - p. 359 24. Chapter 15. Support vector machines for enhanced vulnerability management and encryption in edge computing - p. 395 25. Chapter 16. Social and ethical solutions to defeat cyber attacks in edge computing - p. 431 26. Chapter 17. Legal framework and regulatory policies for cyber edge computing systems - p. 467 27. Index - p. 515
