Blockchain-Enabled Digital Security Solutions: From Theory to Real-World Solutions is a comprehensive edited volume that systematically explores the role of blockchain technology in strengthening digital security frameworks, with a special focus on Internet of Things (IoT) ecosystems and emerging cyber-physical systems. The book bridges the gap between theoretical foundations and practical implementations, offering readers a holistic understanding of how blockchain can be leveraged to address contemporary cybersecurity challenges.
The rapid proliferation of IoT devices across domains such as smart cities, healthcare, supply chains, energy systems, and industrial automation has significantly increased concerns related to data privacy, trust, authentication, and system integrity. This book addresses limitations by presenting blockchain as a decentralized, transparent, and tamper-resistant solution capable of enhancing trust, accountability, and resilience in digital infrastructures.
The volume begins by establishing foundational knowledge of blockchain and IoT technologies, outlining their architectures, operating principles, and inherent security challenges. Subsequent chapters delve into advanced concepts such as blockchain-based authentication and access control, secure identity management for IoT devices, data integrity, auditability, and trust establishment in distributed networks. The book also explores the integration of smart contracts to enable secure and autonomous interactions among IoT entities, along with performance, scalability, and optimization issues in blockchain-enabled systems.
A distinctive feature of this edited book is its emphasis on real-world applications and practical use cases. Chapters highlight blockchain-enabled secure supply chain management, trusted data exchange mechanisms, and industry-specific implementations that demonstrate how theory can be translated into deployable solutions. Additionally, the book examines regulatory, legal, and governance considerations, offering readers critical insights into compliance, data protection, and policy frameworks that influence blockchain and IoT adoption globally.
This edited volume is primarily aimed at postgraduate students, doctoral researchers, academicians, industry professionals, and policymakers who seek an in-depth understanding of blockchain-based digital security solutions.
Table of Contents:
1. Introduction to IoT Security and Blockchain Integration. 2. Fundamentals of Blockchain Technology and IoT Systems. 3. Security Challenges in IoT Environments. 4. Blockchain Technology: Principles and Applications. 5. Blockchain Integration in IoT Security Architecture. 6. Data Integrity and Auditability in Secure IoT Communications. 7. Blockchain-Based Secure Supply Chain Management. 8. Smart Contracts for Secure Interactions in IoT. 9. Blockchain-Based Identity Management for IoT Devices. 10. Trust and Transparency in Blockchain IoT Networks. 11. Blockchain Applications in Securing IoT Systems. 12. Regulatory and Legal Considerations in Blockchain IoT Security. 13. Blockchain-Powered Logistics Networks: An Interoperability Framework for a Pharmaceutical Sector. 14. Analyzing Critical Elements Impacting Blockchain Integration in the Banking Industry: A Refined UTAUT Model. 15. Blockchain-Enabled Device Authentication Protocols for 5G-Integrated IoT Ecosystems. 16. Scalability and Performance Optimization in Blockchain IoT. 17. Blockchain Integration in IoT Security Architecture. 18. Authentication and Access Control in Blockchain. 19. Regulatory and Legal Considerations in Blockchain IoT Security.
About the Author :
Dr. Sonali Mathur
Dr. Sonali Mathur is Professor and Head of the Department of Computer Science and Engineering at IMS Engineering College, Ghaziabad, India. She has over 23 years of teaching and research experience in computer science and engineering. She received her PhD from Birla Institute of Technology, Mesra, Ranchi, and holds an MTech in Information Technology from Guru Gobind Singh Indraprastha University and a BE in Computer Science and Engineering from M.J.P. Rohilkhand University, Bareilly. Dr. Mathur has edited multiple scholarly books and published extensively in reputed SCOPUS and Web of Science indexed journals. She has supervised numerous undergraduate and postgraduate research projects and has served as Co–Principal Investigator on projects funded by MHRD, AKTU, and AICTE. She also holds several patents in the field of computer science.
Dr. Prabhat Kumar Srivastava
Dr. Prabhat Kumar Srivastava is Professor in the Department of Computer Science and Engineering at IMS Engineering College, Ghaziabad, India. He holds a PhD in Computer Science from Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj. With nearly 25 years of academic and research experience, his expertise spans soft computing, fuzzy systems, evolutionary algorithms, machine learning, and intelligent systems. Dr. Srivastava has published over 65 research papers in international journals and conferences and has authored several academic books. He holds multiple national and international patents, including granted patents, and actively serves as a reviewer, technical program committee member, and chair for IEEE and Springer conferences. He is a member of IEEE and ISTE.
Mr. Anubhav Sharma
Mr. Anubhav Sharma is Assistant Professor in the Department of Computer Science and Engineering at IMS Engineering College, Ghaziabad, India, with more than 20 years of teaching experience. He holds an MTech (Hons.) in Computer Science and Engineering from Uttarakhand Technical University and a BTech in Information Technology from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He is currently pursuing his PhD in Computer Science and Engineering from Shobhit University Meerut. His research interests include blockchain technology, IoT, and secure systems. Mr. Sharma has published several research papers in international journals and conferences and holds patents in the areas of blockchain and IoT. He is a lifetime member of the Indian Society for Technical Education (ISTE).
Dr. Aditi Sharma
Dr. Aditi Sharma is Associate Professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology, Symbiosis International University, Pune, India, and a Senior Member of IEEE. She received her PhD in Computer Science and Engineering from JNVU, Jodhpur. She has also served as a Postdoctoral Fellow at Nazarbayev University, Kazakhstan, working on intelligent cryptosystems, IoT, and cloud-based robotic systems. Dr. Sharma has over 16 years of academic and research experience and has published extensively in SCI, ESCI, and Scopus-indexed journals. She has authored multiple books and holds numerous patents, including granted patents. Her research interests include cryptography, blockchain, IoT, AI, machine learning, and VLSI.
Dr. Alex Khang
Dr. Alex Khang is Professor, Senior AI Researcher, and Chief Data Scientist at the Global Research Institute of Technology and Engineering, Raleigh, North Carolina, USA. With more than 30 years of professional and academic experience, he has worked extensively in software engineering, data science, artificial intelligence, database systems, and cloud computing across multinational organizations in the United States, Europe, and Asia. Dr. Khang has held leadership roles including CEO, CTO, engineering director, and product manager, and has taught and conducted research at universities and research institutions internationally. His expertise spans AI engineering, data analytics, IoT-based systems, and advanced computing technologies.
Dr. Tejaswi Khanna
Dr. Tejaswi Khanna is Associate Professor in the Department of Computer Science and Engineering at Amity University, Greater Noida, India. He holds a PhD in Blockchain Technology from Sharda University, an MTech from YMCA University of Science and Technology, Faridabad, and a BTech from Kurukshetra University. His research interests include blockchain technology, cybersecurity, and quantum computing. Dr. Khanna has published research articles in international journals and conferences and holds several patents, including a granted patent. His work has received notable academic citations, reflecting its relevance to emerging secure computing technologies.
