Table of Contents:
  • Preface
  • Chapter 1. Introduction to Secured AIoT and Authentication Challenges
  • Chapter 2. AIoT Security Landscape Threat Models and Vulnerability Assessment
  • Chapter 3. Edge Intelligence and Federated Learning Approaches to AIoT Authentication and Trust Management
  • Chapter 4. Lightweight and Post-Quantum Cryptography for AIoT Authentication
  • Chapter 5. Zero Trust Architecture Implementation for AIoT Networks
  • Chapter 6. Advances in Gait and Footprint Biometrics on Edge Computing: Comprehensive Review and Future Perspectives
  • Chapter 7. Challenges of Social Sensing From a Safety and Security Perspective
  • Chapter 8. Trust Management and Reputational Systems in Artificial Intelligence of Things (AIoT)
  • Chapter 9. Securing AIoT Ecosystems With Blockchain Trust Modeling and Privacy Preserving Frameworks: Securing AIoT Ecosystems
  • Chapter 10. Blockchain-Driven Architecture for Secure and Attribute-Based Remote Patient Monitoring System
  • Chapter 11. Blockchain and Decentralized Identity for AIoT-Based Authentication in Smart Farming and Precision Agriculture
  • Chapter 12. Trust and Reputation in Secured AIoT: A Communication and Social Science Perspective on Authentication Ecosystems
  • Chapter 13. Traditional Authentication Mechanisms, Often Designed for Human-Centric or Enterprise IT Environments, Are Ill-Equipped to Address the Unique Challenges of AIoT
  • Chapter 14. AI-Solutions and AIoT for Developmental Economics: Poverty Alleviation and Financial Inclusion Opportunities and Difficulties
  • Chapter 15. AIoT and Blockchain: Future Directions and Open Research Challenges
  • Compilation of References
  • About the Contributors
  • Index.