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Full Description
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.
Contents
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 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 Identities for User-Centric Identity Management in Internet of Things
15. Securing 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 optimising quick commerce operations: a comprehensive analysis of micro-fulfillment centers and consumer satisfaction
25. Securing the Future: Challenges and Threats in IoT Device Security
