Securing IoT and Big Data : Next Generation Intelligence/ Edited By Vijayalakshmi Saravanan, Alagan Anpalagan, T. Poongodi, Firoz Khan

This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems.　

It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies.　

The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.

TABLE OF CONTENTS 1. Basic Foundation of IoT and Big Data. 2. Security Model and Architecture for Big Data and IoT. 3. Security Technologies for Collecting, Sharing and Analysis of Big Data. 4. Intrusion Detection and Transmission Surveillance of IoT and Big Data. 5. Big Data and IoT Forensics. 6. Storage, System Security and Access Control for Big Data IoT. 7. Human Computer Interaction Challenges for Big Data and IoT Security. 8. Scalability and Auditing in Big Data and IoT Networks. 9. Cyber Threat Intelligence in Big Data and IoT Networks. 10. Internet of Things (IoT) Devices and Protocols Security. 11. Cross-Domain Trust Management in Smart Communities. 12. Cloud Computing-Based Security Solutions for IoT Data Analytics. 13. Security Challenges and Mitigation Approaches for Smart Cities. 14. Cyber-Attacks Detection and Prevention Systems for Big Data IoT Networks. 15. Interoperable Security for Urban Planning and Applications. 16. Ethics, Legal, and Social Considerations in IoT and Big Data Security. 17. Secure Integration of IoT and Cloud Computing 18. Secure Integration of IoT, Big Data and Social Networks. 19. Security and Privacy Preserving Data Mining and Aggregation in IoT Applications. 20. Sustainable Intrusion Detection, Prevention and Analysis for IoT Networks. 21. Big Data Malicious Programs Detection, Preservation and Analysis. 22. Privacy in IoT, Big Data Applications and Services.