Blockchain and AI Amalgamation for IoT Applications Beyond 5G

1. Auflage 2026
ISBN: 978-87-438-0904-3
Verlag: River Publishers

Buch, Englisch, 572 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: River Publishers Series in Digital Security and Forensics

As we move deeper into the era of hyperconnectivity, the convergence of blockchain, 5G, artificial intelligence (AI), and the Internet of Things (IoT) is redefining the digital frontier. Blockchain and AI Amalgamation for IoT Applications Beyond 5G presents a comprehensive and forward-looking exploration of this intersection, offering readers a roadmap toward secure, intelligent, and decentralized networks of the future.
The volume brings together 16 carefully curated chapters that move seamlessly from foundational principles to advanced integrations and real-world implementations. Readers will learn how blockchain enhances privacy, data integrity, and decentralized control across 5G-IoT ecosystems, while AI augments these networks with adaptive intelligence and predictive security.
Case studies and prototypes illustrate successful deployments, demonstrating how emerging technologies can be applied in practice. Specialized discussions highlight protocols for the internet of vehicles, secure cloud paradigms, VPNs, and even novel travel security applications. The book also explores Blockchain’s transformative role in emerging digital realms such as finance, the metaverse, and beyond.
With contributions from leading researchers and practitioners, this book serves as an essential resource for academics, engineers, policymakers, and industry professionals. Whether the reader is designing intelligent edge devices or architecting large-scale IoT infrastructures, the content equips them with the knowledge and tools to innovate securely and sustainably.

Zielgruppe

Academic, Postgraduate, and Professional Practice & Development

Autoren/Hrsg.

Tanwar, Sudeep

Das, Maniklal

Benslimane, Abderrahim

Gupta, Rajesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Part 1 Laying the Foundation: Blockchain and AI Amalgamation in 5G-IoT 1. Introduction of Blockchain and 5G-enabled IoT Devices 2. A Review on Blockchain-enabled Decentralized Architecture in a 5G-IoT Network 3. Integrating Blockchain and IoT: Opportunities, Challenges, and Applications 4. Case Studies and Prototypes for Blockchain and Artificial Intelligence (AI) Integration in 5G-Enabled (IoT) Systems: Towards Secure, Intelligent, and Efficient Paradigms Part 2 Security and Privacy Enhancement in 5G-IoT Using Blockchain and AI 5. Enhancing Data Security and Privacy in 5G-IoT Using Blockchain Technology 6. Interconnected Integrity: Securing IoT Networks with Blockchain Technology 7. An Adaptive Approach for Cloud Security Using Cloud Service Tools, Blockchain, Protocols and Algorithms 8. Blockchain-enabled VPN Security Part 3 Intelligent Decision Making and Automation for 5G-IoT Systems Powered by Blockchain and AI 9. Smarter Security: Blockchain and AI-Driven Identity Management for Next-Generation IoT 10. Enabling Automated Network Services Using Zero-touch Technology for Intelligent 5G-IoT Communication 11. Blockchain and AI Integration for Enhanced Security and Intelligence in 5G-IoT 12. Enhancing Environmental Monitoring and Sustainability through 5G-IoT Integration with AI and Blockchain Part 4 Applications of Blockchain and AI in 5G-IoT 13. Exploration of Conditional Privacy Preserving and Authentication Protocols for Internet of Vehicles 14. Solutions of Blockchain and Artificial Intelligence for 5G-Internet of Things in Agriculture 15. Smart Travelling Bag: Leveraging Blockchain for Enhanced Travel Security and Efficiency with 5G Technology 16. Transformation of Financial and Virtual Realms in the Metaverse: A Blockchain Technology Perspective

Über Autor(innen)

Dr. Sudeep Tanwar (Senior Member, IEEE) is working as a professor at the Nirma University, India. He is also a Visiting Professor with WSG University, Bydgoszczy, Poland, Jan Wyzykowski University, Poland, and the University of Pitesti, Romania. He is a senior member of IEEE and also Vice Chair of IEEE Computer Society Gujarat Section. He received his B.Tech in 2002 from Kurukshetra University, India, his M.Tech (Honor’s) in 2009 from Guru Gobind Singh Indraprastha University, Delhi, India and his Ph.D. in 2016 with specialization in Wireless Sensor Network. He has authored 5 books and edited 25 books, authored more than 400 technical articles, including for top cited journals and conferences, such as IEEE TNSE, IEEE TVT, IEEE TII, IEEE TGCN, IEEE TCSC, IEEE IoTJ, IEEE NETWORKS, IEEE WCM, ICC, IWCMC, GLOBECOM, CITS, and INFOCOM. He initiated the research field of blockchain technology adoption in various verticals in the year 2017. His H-index as per Google Scholar and Scopus is 84 and 71, respectively. His research interests include blockchain technology, D2D communication, deep learning/machine learning, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of the IEEE Communication Society. He has served many international conferences as a member of the Organizing Committee, such as the Publication Chair for FTNCT-2020, ICCIC 2020, and WiMob2019, and a General Chair for IC4S 2019, 2020, 2021, 2022, ICCSDF 2020, FTNCT 2021. He is also serving the editorial boards of COMCOM-Elsevier, IJCS-Wiley.
Dr. Maniklal Das is Professor of Computer Science at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has over 23 years of research and teaching experience in computer science. His research works broadly cover all areas of cyber security and IT security management. During his professional service, he has served as investigator of several sponsored research projects with national and international collaborators in the area of security and privacy. He has collaborated on research works with many researchers in premier universities abroad and in India. He is currently on the Editorial Board of IEEE Transactions on Dependable and Secure Computing. He has served as a member of the technical program committee for many international conferences, and he is a regular reviewer of IEEE/ACM/Springer/Elsevier journals. Detailed information about his research and other accomplishments can be found at http://intranet.daiict.ac.in/~maniklal_das/. Dr. Das received his Ph.D. degree from Indian Institute of Technology, Bombay, and M.Tech. degree from Indian Institute of Technology, Dhanbad (formerly, Indian School of Mines, Dhanbad), India. He is a senior member of the IEEE and life member of Cryptology Research Society of India.
Abderrahim Benslimane has been a Full Professor of Computer Science at the Avignon University/France since 2001. He is Vice Dean of the Faculty of Sciences and Technology and Head of the Master Degree SICOM, Communicating Systems. He was nominated in 2020 as IEEE VTS Distinguished Lecturer. He has the French award for Doctoral supervision and Research 2017-2021. He has been as Associate Professor at the University of Technology of Belfort-Montbéliard since September 1994. He received his Ph.D. degree (1993), DEA (MS 1989) from the Franche-Comte University of Besançon, and B.Sc. (1987) from the University of Nancy, all in computer science. He is EiC of Inderscience Int. J. of Multimedia Intelligence and Security (IJMIS), Area Editor of Security in IEEE IoT journal, editorial member of IEEE Transaction on Multimedia, IEEE Wireless Communication Magazine, IEEE System Journal, Elsevier Ad Hoc Networks, and Springer Wireless Network Journal. He has authored more than 220 refereed international publications (books, conference proceedings, journals and conferences) and more than 20 articles for special issues. He has supervised more than 20 Ph.D. theses and more than 40 M.Sc. research theses. His research topics are monitoring schemes, secure and QoS protocols design, verification and performance evaluation, multicasting for IoT, autonomous vehicles, UAV, DDoS, and Blockchain technology and AI/ML schemes for security. He has been reviewer of a great number of journals and of national research projects sponsored by the ANR/Telecom French Agency. He is involved in many national and international projects.
Rajesh Gupta (Member IEEE) is currently working as an Assistant Professor at Nirma University, Ahmedabad, Gujarat, India. He completed his Ph.D. in Computer Science and Engineering in 2023 from Nirma University under the supervision of Dr. Sudeep Tanwar. He received his Bachelor of Engineering in 2008 from the University of Jammu, India and Master’s in Technology in 2013 from Shri Mata Vaishno Devi University, Jammu, India. He has authored/co-authored more than 250 publications (including papers in SCI Indexed Journals and IEEE ComSoc sponsored International Conferences). His research findings are published in top-cited journals and conferences. His research interests include device-to-device communication, network security, Blockchain technology, 5G communication network, and machine learning. His Google Scholar citations are 7600+, h-index 48, and i10-index 110. He has also been a recipient of a Doctoral Scholarship from the Ministry of Electronics and Information Technology, Govt. of India under the Visvesvaraya Ph.D. Scheme. His name has been included in the list of Top 2% scientists worldwide published jointly by Elsevier and Stanford university, USA consecutively in 2021, 2022, 2023, and 2024.