IoT Security Paradigms and Applications: Research and Practices

ISBN-13: 9780367515003 / Angielski / Miękka / 2022 / 338 str.

Sudhir Kumar Sharma; Bharat Bhushan; Narayan C. Debnath

Opis

Present book highlights these challenges and provide an integrating framework for these technologies illustrating role of blockchain in all the possible facets of IoT security. Further, it investigates the security and privacy issues associated with various IoT systems exploring various machine learning based IoT security solutions including 5G.

Spis treści

Chapter 1 The Convergence of IoT with Big Data and Cloud Computing Chapter 2 Cybersecurity Management within the Internet of Things Chapter 3 ROSET: Routing on SENSEnuts Testbeds in IoT Network Chapter 4 Machine Learning: Approach towards Security Chapter 5 Privacy Preservation with Machine Learning Chapter 6 Machine Learning-Based Internet-of-Things Security Schemes Chapter 7 Intrusion Detection of SCADA System Using Machine Learning Techniques: A Study Chapter 8 Person Authentication Based on Biometric Traits Using Machine Learning Techniques Chapter 9 Data Security and Privacy through Text Steganography Approaches Chapter 10 IoT as a Means of Strengthening Individual Farmers’ Position in Collaboration for Transformation to Sustainable Farming Chapter 11 Security in IoT HealthCare Chapter 12 Emerging Wireless Technologies Based on IoT in Healthcare Systems in Poland Chapter 13 Biometric Monitoring in Healthcare IoT Systems Using Deep Learning Chapter 14 Predictive Analysis of Type 2 Diabetes Using Hybrid ML Model and IoT Chapter 15 Securing Honey Supply Chain through Blockchain: An Implementation View