IoT Security

Fundamentals and Key Enabling Technologies

SK Hafizul Islam, Debabrata Samanta, Arup Kumar Pal, Ummer Iqbal

• Publisher: Academic Press
• Year: 2025
• eBook ISBN: 9780443341267
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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. - Covers emerging application areas in IoT and possible applications of cybersecurity solutions - Presents cutting-edge blockchain-enabled applications for smart cities, cyber-physical systems, cloud computing, intelligent transportation systems, and network security - Offers both theoretical insights and applications of blockchain, edge computing, machine learning/AI, penetration testing, and collaborative security approaches

Table of contents

• Title of Book
• 1. Next-generation IoT security: Machine learning and AI perspectives
• 2. Image-based steganography in IIoT: Enhancing data security with CNN, CBAM, and quantization techniques
• 3. Securing patient data in IoT-enabled medical imaging: A steganographic approach
• 4. A multifactor-based secure and efficient protocol for authentication and key-management in industrial Internet-of-Things
• 5. Human factors and social engineering in IoT attacks
• 6. Machine learning approaches for strengthening IoT security: A thorough review
• 7. Modern privacy preserving strategies for IoT security
• 8. Identity and access management for IOT devices
• 9. A comprehensive study on ECC-based secure IEEE 802.15.4 connectivity in IoT gateways
• 10. Securing MAVLink communication in the internet of drones using elliptic curve cryptography
• 11. Contemporary threats and countermeasures for IoT systems
• 12. Secure and efficient communication for MQTT-based IoT systems
• 13. Safeguarding crop quality: IoT-enabled pest classification via convolution neural network and transfer learning
• 14. Leveraging Self-Sovereign Identity for user-centric identity management in Internet of Things
• 15. Secured IoT-based pancreatic cancer management systems with elliptic curve cryptography
• 16. Emerging trends and security in IoT devices
• 17. Collaborative security approaches for IoT ecosystems
• 18. IoT based cardiovascular health monitoring: Ensuring security with machine learning and AI techniques
• 19. Progressions and unfilled gaps in homomorphic encryption for emerging application areas: A comprehensive literature review and preface
• 20. A short study on robotics in smart homes: Developing a robotic assistant for everyday tasks
• 21. Homomorphic encryption for modern data security: Case studies of IBM's comprehensive solutions and Zama's cutting-edge innovations for IoT
• 22. From needs to insights: User stories guide data processing and networking for IDMS development for IOT
• 23. IoT security through machine learning and AI
• 24. The role of IoT in optimizing quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction
• 25. Securing the future: Challenges and threats in IoT device security
• Index