Blockchain and Digital Twin Enabled Iot Networks: Privacy and Security Perspectives

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.

Randhir Kumar has a Ph.D. in Information Technology from NIT Raipur, India. He completed his Postdoctoral from Department of Electrical Engineering, IIT Hyderabad. He is an Assistant Professor at the Department of Computer Science and Engineering, SRM University, AP. He has 7 years of teaching and 4 years of research experience. He has research articles in leading journals and conferences from IEEE, Elsevier, Springer, and John Wiley. His papers have been published in some of the high impact factor journals such as - IEEE Internet of Things, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Industrial Informatics, IEEE Intelligent Systems, IEEE Consumer Electronics Magazine, IEEE COMSNETs, IEEE ICC, MobiCom, GlobeCom, Computer Networks, JPDC, and Transactions on Emerging Telecommunications Technologies (ETT Wiley). His paper was recognized as most cited paper of year 2020-2021 in one of the reputed journals i.e., Transactions on Emerging Telecommunications Technologies. He has qualified UGC-NET in the year of 2018. He has been awarded as Best Engineer Trainee by Honeywell Technology, India in the year 2009. He is active reviewer of many of the reputed journals like IEEE TDSC, IEEE TGCN, IEEE TNSM, IEEE TII, IEEE Access, Journal of Super Computing, Journal of Ambient Intelligent and Humanized Computing, and International Journal of Information Security and Privacy, IGI global. His research interest includes Cryptographic Techniques, Information Security, Blockchain Technology, Digital Twin and Services, Machine Learning, and Web Mining. He is also a member of IEEE, IAENG.

Prabhat Kumar has a Ph.D. in Information Technology from National Institute of Technology Raipur, Raipur, India, under the prestigious fellowship of Ministry of Human Resource and Development (MHRD) funded by the Government of India in 2022. Thereafter, he worked with Indian Institute of Technology Hyderabad, India, as a Post-doctoral Researcher under project＂ Development of Indian Telecommunication Security Assurance Requirements for IoT devices＂. He is currently working as a Post-doctoral Researcher with the Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland. He has many research contributions in the area of Machine Learning, Deep Learning, Federated Learning, Big Data Analytics, Cybersecurity, Blockchain, Cloud Computing, Internet of Things, Digital Twin and Software Defined Networking. He has authored or co-authored over 28+ top-tier journal/conference articles, including 13+ IEEE TRANSACTIONS/Magazine papers. One of his Ph.D. publications was recognized as a top cited article by WILEY in 2020-21. Some of his research findings are published in top cited journals and conferences, such as IEEE TII, IEEE TITS, IEEE TNSE, IEEE TGCN, IEEE IoT-J, IEEE Intelligent Systems, IEEE Consumer Electronics Magazine, IEEE MICRO, JSA (Elsevier), ComCom (Elsevier), Comnet (Elsevier), JPDC (Elsevier), ICDCN, IEEE ICC, ACM MobiCom and IEEE GLOBECOM. He is an Expert Evaluator of top scientific journals and conferences, including IEEE TII, IEEE TITS, IEEE TNSE, IEEE TGCN, IEEE JBHI, IEEE IoTJ, IEEE Network Magazine, IEEE IoT Magazine, IEEE Access, ACM TALLIP, ComCom and IEEE ICC. He is also an IEEE Member.

Sobin C.C. He vast expertise in studies of ＂Delay Tolerant Networks (DTNs)＂, ＂Wireless Networks＂, and ＂Internet of Things (IoT)＂. Dr. Sobin’s M. Tech and PhD research from premier institutes in India, such as IIT Madras and IIT Roorkee enabled to acquire in-depth knowledge in developing routing protocols for DTNs and designing IoT-based applications. Also, well-versed in building IoT applications over DTN in case of limited Internet connectivity. PI published articles relevant to his area of expertise in leading reputed journals in the specified field (Journal of Network and Computer Applications, Wireless Personal Communications, International Journal of Communication Systems, etc.). He has more than 18 years of teaching and research experience. He has guided various PG and UG students in the domain of DTN, Software Engineering, and Smart Agriculture. He is currently working as an Associate Professor in SRM university AP, India.