IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cyber security solutions. Diving into real-world case studies to provide insights into implementing efficient security measures that safeguard against online dangers, this book comprehensively analyzes the challenges and possibilities presented by intelligent technologies fueling transformational change, emphasizing the crucial role cybersecurity plays in defending networks, data, and user privacy in an increasingly interconnected digital ecosystem.
Coverage includes cryptographic methods, communication networks, device identity and access, data governance and privacy, as well as regulatory frameworks and standards for IoT security. Computer science researchers and engineers will benefit from this compilation of cutting-edge research and practical case studies, learning how to minimize risks for IoT and intelligent technologies.
1. Introduction - p. 73 2. Related work - p. 75 3. Preliminaries - p. 76 4. System model and goals - p. 77 5. Proposed scheme - p. 79 6. Discussion of security analysis - p. 82 7. Performance comparison - p. 84 8. Conclusion - p. 89 9. 5. Human factors and social engineering in IoT attacks - p. 93 10. 6. Machine learning approaches for strengthening IoT security: A thorough review - p. 105 11. 7. Modern privacy preserving strategies for IoT security - p. 125 12. 8. Identity and access management for IOT devices - p. 137 13. 9. A comprehensive study on ECC-based secure IEEE 802.15.4 connectivity in IoT gateways - p. 153 14. 10. Securing MAVLink communication in the internet of drones using elliptic curve cryptography - p. 169 15. 11. Contemporary threats and countermeasures for IoT systems - p. 183 16. 12. Secure and efficient communication for MQTT-based IoT systems - p. 203 17. 13. Safeguarding crop quality: IoT-enabled pest classification via convolution neural network and transfer learning - p. 219 18. 14. Leveraging Self-Sovereign Identity for user-centric identity management in Internet of Things - p. 243 19. 15. Secured IoT-based pancreatic cancer management systems with elliptic curve cryptography - p. 261 20. 16. Emerging trends and security in IoT devices - p. 275 21. 17. Collaborative security approaches for IoT ecosystems - p. 291 22. 18. IoT based cardiovascular health monitoring: Ensuring security with machine learning and AI techniques - p. 305 23. 19. Progressions and unfilled gaps in homomorphic encryption for emerging application areas: A comprehensive literature review and preface - p. 333 24. 20. A short study on robotics in smart homes: Developing a robotic assistant for everyday tasks - p. 359 25. 21. Homomorphic encryption for modern data security: Case studies of IBM's comprehensive solutions and Zama's cutting-edge innovations for IoT - p. 377 26. 22. From needs to insights: User stories guide data processing and networking for IDMS development for IOT - p. 409 27. 23. IoT security through machine learning and AI - p. 433 28. 24. The role of IoT in optimizing quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction - p. 473 29. 25. Securing the future: Challenges and threats in IoT device security - p. 489 30. Index - p. 513
IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cyber security solutions. Diving into real-world case studies to provide insights into implementing efficient security measures that safeguard against online dangers, this book comprehensively analyzes the challenges and possibilities presented by intelligent technologies fueling transformational change, emphasizing the crucial role cybersecurity plays in defending networks, data, and user privacy in an increasingly interconnected digital ecosystem.
Coverage includes cryptographic methods, communication networks, device identity and access, data governance and privacy, as well as regulatory frameworks and standards for IoT security. Computer science researchers and engineers will benefit from this compilation of cutting-edge research and practical case studies, learning how to minimize risks for IoT and intelligent technologies.
1. Introduction - p. 73 2. Related work - p. 75 3. Preliminaries - p. 76 4. System model and goals - p. 77 5. Proposed scheme - p. 79 6. Discussion of security analysis - p. 82 7. Performance comparison - p. 84 8. Conclusion - p. 89 9. 5. Human factors and social engineering in IoT attacks - p. 93 10. 6. Machine learning approaches for strengthening IoT security: A thorough review - p. 105 11. 7. Modern privacy preserving strategies for IoT security - p. 125 12. 8. Identity and access management for IOT devices - p. 137 13. 9. A comprehensive study on ECC-based secure IEEE 802.15.4 connectivity in IoT gateways - p. 153 14. 10. Securing MAVLink communication in the internet of drones using elliptic curve cryptography - p. 169 15. 11. Contemporary threats and countermeasures for IoT systems - p. 183 16. 12. Secure and efficient communication for MQTT-based IoT systems - p. 203 17. 13. Safeguarding crop quality: IoT-enabled pest classification via convolution neural network and transfer learning - p. 219 18. 14. Leveraging Self-Sovereign Identity for user-centric identity management in Internet of Things - p. 243 19. 15. Secured IoT-based pancreatic cancer management systems with elliptic curve cryptography - p. 261 20. 16. Emerging trends and security in IoT devices - p. 275 21. 17. Collaborative security approaches for IoT ecosystems - p. 291 22. 18. IoT based cardiovascular health monitoring: Ensuring security with machine learning and AI techniques - p. 305 23. 19. Progressions and unfilled gaps in homomorphic encryption for emerging application areas: A comprehensive literature review and preface - p. 333 24. 20. A short study on robotics in smart homes: Developing a robotic assistant for everyday tasks - p. 359 25. 21. Homomorphic encryption for modern data security: Case studies of IBM's comprehensive solutions and Zama's cutting-edge innovations for IoT - p. 377 26. 22. From needs to insights: User stories guide data processing and networking for IDMS development for IOT - p. 409 27. 23. IoT security through machine learning and AI - p. 433 28. 24. The role of IoT in optimizing quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction - p. 473 29. 25. Securing the future: Challenges and threats in IoT device security - p. 489 30. Index - p. 513
