This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc.
This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
Author Biography:
Randhir Kumar obtained a Ph.D. from the department of Information Technology from NIT Raipur, India. He completed his Postdoctoral at the Department of Electrical Engineering, IIT Hyderabad. He is currently an Assistant Professor, Department of Computer Science and Engineering, SRM University, AP, India. His research interests include cryptographic techniques, information security, blockchain technology, Digital Twin and services, and working Parallel Execution of smart contracts and interoperability challenges in blockchain-enabled frameworks and services.
Prabhat Kumar obtained a Ph.D. in Information Technology from the National Institute of Technology Raipur, Raipur, India. Thereafter, he worked with the Indian Institute of Technology Hyderabad, India, as a Project Officer on the project “Development of Indian Telecommunication Security Assurance Requirements for IoT Devices”. He is a Post-doctoral Researcher with the Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland. He has made many research contributions in machine learning, deep learning, federated learning, cybersecurity, blockchain, cloud computing, and Digital Twin.
Sobin C.C. has a vast expertise in studies of delay tolerant networks (DTNs), wireless networks, and IoT. Sobin's M. Tech and PhD research from premier institutes in India, such as IIT Madras and IIT Roorkee, enabled him to acquire in-depth knowledge in developing routing protocols for DTNs and designing IoT-based applications. Sobin is also well-versed in building IoT applications over DTN in cases of limited Internet connectivity. His research areas include DTN, software engineering, and smart agriculture. He is currently working as an Associate Professor in SRM University AP, India.
