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Full Description
The Internet has gone from an Internet of people to an Internet of Things (IoT). This has brought forth strong levels of complexity in handling interoperability that involves the integrating of wireless sensor networks (WSNs) into IoT. This book offers insights into the evolution, usage, challenges, and proposed countermeasures associated with the integration.
Focusing on the integration of WSNs into IoT and shedding further light on the subtleties of such integration, this book aims to highlight the encountered problems and provide suitable solutions. It throws light on the various types of threats that can attack both WSNs and IoT along with the recent approaches to counter them.
This book is designed to be the first choice of reference at research and development centers, academic institutions, university libraries, and any institution interested in the integration of WSNs into IoT. Undergraduate and postgraduate students, Ph.D. scholars, industry technologists, young entrepreneurs, and researchers working in the field of security and privacy in IoT are the primary audience of this book.
Contents
Chapter 1 Security Issues, Vulnerabilities and Defense Mechanisms in Wireless Sensor Network: State of the Art and Recommendation
Chapter 2. Security Attacks and Countermeasures in Wireless Sensor Network
Chapter 3. Overview of Ubiquitous Computing and a Modern Look in Current Times
Chapter 4. Cryptanalysis and Security Evaluation Using Artificial Neural Networks)
Chapter 5. Post-Quantum Cryptography on Wireless Sensor Networks: Challenges and Opportunities
Chapter 6 Performance Evaluation Using Different Routing Protocols in MANETs
Chapter 7.Smart Agriculture Using Wireless Sensor Networks
Chapter 8. Big Data Analytics for WSNs and Smart Grids: Applications, Design Issues and Future Challenges
Chapter 9. A New Algorithm Proposed for the Disaggregation of Loads in the Smart Grid Context
Chapter 10. A Security Paradigm of WSN, IoT and CPS: Challenges and Solutions
Chapter 11. (IoT: Fundamentals and Challenges)
Chapter 12. Enabling Technologies, Attacks and Machine Learning based Countermeasures for IoT and IIoT
Chapter 13. Applications of AI and ML in IoT
Chapter 14. Ubiquities Computing for Management, Evaluation, Treatment and Rehabilitation of Psychological Disorders
Chapter 15. Challenges and Vulnerabilities of WSNs based IoT in Healthcare and Medical industry
Chapter 16. (Blockchain Technology for Healthcare Cloud-Based Data Privacy and Security)
