Title Statements
- Full title :Securing IoT and big data : next generation intelligence / edited by Vijayalakshmi Saravanan, Alagan Anpalagan, T. Poongodi, and Firoz Khan.
Summary
"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"--
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- Publication Date:©2021
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2021
The Physical Object
- Description:.1 online resource (xx, 170 pages) : : illustrations (some color)
Edition Identifiers
- ISBN:9781003009092, 1003009093, 9781000258530, 100025853X, 9781000258516, 1000258513, 9781000258523, 1000258521
- oclc:on1163933817
- LC Classification:TK5105.8857
- Dewey Decimal:004.67/8
Table of Contents
1. Foundation of Big Data and Internet of Things: Applications and Case Study -- 2. Securing IoT with Blockchain: Challenges, Applications, and Techniques -- 3. IoT and Big Data Using Intelligence -- 4. Compulsion for Cyber Intelligence for Rail Analytics in IoRNT -- 5. Big Data and IoT Forensics -- 6. Integration of IoT and Big Data in the Field of Entertainment for Recommendation System -- 7. Secure and Privacy Preserving Data Mining and Aggregation in IoT Applications -- 8. Real-Time Cardiovascular Health Monitoring System Using IoT and Machine Learning Algorithms: Survey.
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