Security and Privacy Issues in IoT Devices and Sensor Networks investigates security breach issues in IoT and sensor networks, exploring various solutions. The book follows a two-fold approach, first focusing on the fundamentals and theory surrounding sensor networks and IoT security. It then explores practical solutions that can be implemented to develop security for these elements, providing case studies to enhance understanding. Machine learning techniques are covered, as well as other security paradigms, such as cloud security and cryptocurrency technologies. The book highlights how these techniques can be applied to identify attacks and vulnerabilities, preserve privacy, and enhance data security.

1. Wireless Sensor Networks: Concepts, Components and Challenges 2. Secure performance of emerging wireless sensor networks relying nonorthogonal multiple access 3. Security and Privacy in Wireless Body Sensor Networks Using Lightweight Cryptography Scheme 4. Impact of Thermal Effects on Wireless Body Area Networks and Routing Strategies 5. Four-way Binary tree-based data gathering Model for WSN 6. Routing Protocols: Key Security Issues & Challenges in IoT, Ad Hoc and Sensor Networks 7. Fault Tolerance of Cluster-Based Nodes in IoT Sensor Networks with Periodic Mode of Operation 8. Lightweight Cryptographic Algorithms for Resource-constrained IoT Devices and Sensor Networks 9. EELC: Energy Efficient Light-Weight Cryptography for IoT networks 10. Blockchain as a Solution for Security Attacks in named data networking of things 11. A Novel Privacy-preserving Healthcare Information Sharing Platform Using Blockchain 12. Computational intelligent techniques for prediction of environmental attenuation of millimeter waves 13. The role of IoT in Smart Cities: Challenges of air quality mass sensor technology for sustainable solutions