Bridge the gap between theoretical blockchain concepts and real-world IoT security with this indispensable guide to building decentralized, tamper-proof ecosystems that eliminate data tampering and unauthorized access.
As IoT devices proliferate across industries, the need for robust security solutions becomes increasingly critical. This book explores the integration of blockchain technology with Internet of Things (IoT) infrastructures to enhance security, reliability, and trust. It examines how blockchain can address common IoT vulnerabilities—including data tampering, privacy breaches, and unauthorized access—by providing a decentralized, immutable ledger for IoT operations.
The book introduces the core concepts of blockchain and IoT while explaining the unique challenges of the IoT ecosystem, including scalability, privacy, and interoperability. It provides practical insights through case studies demonstrating blockchain implementations in supply chain management, healthcare, smart cities, and energy grids. These examples highlight not only practical applications but also the technical strategies, performance metrics, and organizational changes required for successful deployment. By combining theoretical frameworks with practical guidance and real-world applications, this work serves as an indispensable resource for professionals and researchers in cybersecurity, IoT, and blockchain.
Table of Contents:
Preface xix
1 The Evolving Paradigm of IoT: A Systematic Literature Survey of Challenges, Solutions, and Emerging Technologies 1
Muskan Rajak, Nancy Kaim, Nandini Sharma, Twinkle Verma, Harendra Pratap Singh and Nisha
1.1 Introduction 2
1.2 Literature Review 12
1.3 Future Directions and Research Opportunities in IoT 31
1.4 Conclusion 32
2 IoT Device Lifecycle Management with Blockchain 39
Ishu Chaudhary, Krashnkant Gupta and Bhanu Prakash Lohani
2.1 Introduction to IoT and Blockchain 40
2.2 Fundamentals of IoT 42
2.3 Cloud 50
2.4 User Interface in IoT 51
2.5 Fundamentals of Blockchain 53
2.6 How Do IoT and Blockchain Work Together? 58
2.7 Use Cases of IoT and Blockchain 66
2.8 Conclusion 70
3 Privacy-Preserving Data Management at the Edge of IoT: Leveraging IPFS and Blockchain for Decentralized Security 73
Kavita Agrawal, P.V.G.D. Prasad Reddy and Suresh Chittineni
3.1 Introduction 74
3.2 Related Work 75
3.3 Methodology 81
3.4 Implementation and Result 85
3.5 Conclusion 91
4 Intelligent Industrial IoT (IIoT) Security with Blockchain Applications: Challenges and Future Directions 95
Bosubabu Sambana, Kondapalli Venkata Ramana, Ramya T. and Uppe Nanaji
4.1 Introduction 96
4.2 Background and Related Work 98
4.3 Use of Blockchain 104
4.4 Conclusions 127
5 Secure IoT Ecosystems with Blockchain Foundations 131
Manoj Kumar Mahto and Santosh Kumar Srivastava
5.1 Introduction 132
5.2 Fundamentals of Internet of Things (IoT) 135
5.3 Fundamentals of Blockchain Technology 139
5.4 The Intersection of IoT and Blockchain 142
5.5 Comparative Analysis 144
5.6 Future Perspectives 147
5.7 Summary 150
6 Implementing Secure Payment Systems for IoT Devices with Blockchain 155
Ishu Chaudhary, Swati Vashisht, Suman Avdhesh Yadav and Shubhi Gupta
6.1 Introduction 156
6.2 Design Blockchain-Based Payments Protocols for IoT 169
6.3 Evaluation and Benchmarking in IoT Payment Systems 174
6.4 Conclusion 176
7 Leveraging Blockchain Technology to Enhance Security in IoT Networks: A Decentralized Approach 181
Babita Yadav, Sachin Gupta and Bhoomi Gupta
8 Securing Smart Cyber-Physical Systems Using Blockchain: A Comprehensive Review 199
Narinder Verma, Neerendra Kumar and Neha Sandotra
8.1 Introduction 200
8.2 Background 203
8.3 Cybersecurity Threats in Smart CPS 210
8.4 Blockchain-Based Security Frameworks for CPS 214
8.5 Technical Challenges and Design Trade-Offs 216x Contents
8.6 Emerging Trends and Future Directions 218
8.7 Conclusion 220
9 Smart Financial Surveillance: Blockchain and Explainable AI for Fraud Detection in Smart Healthcare Organizations 225
Vikas Garg and Geeta Mishra
9.1 Introduction 226
9.2 Financial Fraud in Smart Healthcare: A Global Challenge 230
9.3 Blockchain in Healthcare Finance: Foundations and Global Use Cases 235
9.4 Explainable AI in Financial Fraud Detection 241
9.5 Integrating Blockchain and XAI: A Smart Surveillance Architecture 247
9.6 Challenge, Risks, and Policy Implications 253
9.7 Conclusion and Future Outlook 259
10 Blockchain-Driven Secure and Interoperable Inventory Management: Enhancing Authentication, Cybersecurity, and Compliance 267
P. Ashok, K. Murali Krishna, Pon Bharathi A. and Pratik Shirkar
10.1 Introduction 268
10.2 Literature Review 270
10.3 Research Methodology 280
10.4 Industry Use Cases 281
10.5 Future Enhancements 283
10.6 Advanced Concepts in Blockchain 285
10.7 Conclusion 290
11 Blockchain-Enhanced Expert Systems for Smart Transportation: Security, Trust, and Decision-Making 297
Deependra Rastogi, Shantanu Bindewari, Sumit Singh Dhanda, Anand Singh and Rahat Naz
11.1 Introduction 298
11.2 Expert System 300
11.3 Rule-Based Expert System 301
11.4 Architecture and Component of Expert System 303
11.5 Types of Rule-Based Expert System 307
11.6 Characteristics of Expert System 315
11.7 Process Flow of Expert System in Intelligent Transportation 31611.8 Machine Learning in IoT 317
11.9 Smart Transportation 320
11.10 Machine Learning and IoT in Smart Transportation 321
11.11 Security and Privacy Issue on Rule-Based Expert System in Smart Transportation 324
11.12 Blockchain-Enhanced Expert Systems for Smart Transportation 330
11.13 Conclusion 331
12 Integrating Blockchain with SDN for Securing IoT Networks: Challenges, Solutions, and Applications 339
Priyanka Kamboj
12.1 Introduction 340
12.2 Security Challenges in SDN-Enabled IoT Networks 346
12.3 Blockchain Technology 353
12.4 Integration of Blockchain with SDN in IoT Networks 356
12.5 Applications of Integration 359
12.6 Blockchain Meets Security in IoT Networks 362
12.7 Conclusions 365
13 Paving the Way for Trust and Transparency: The Role of Blockchain in E-Governance 371
Abhijit Chirputkar, P. Ashok, Bhumi Rathod and Adrija Bose
13.1 Research Methodology 372
13.2 Architectural Framework for Blockchain in E-Governance 377
13.3 Regulatory Frameworks in India for Blockchain in E-Governance 382
13.4 Industry Data and Statistics 383
13.5 Global Standards for Blockchain in E-Governance 383
14 Blockchain in IoT for Secure Autonomous Vehicles 403
Swati Vashisht, Ishu Chaudhary and Shubhi Gupta
14.1 Introduction 403
14.2 Understanding Autonomous Vehicles (AV) 404
14.3 Role of IoT in AV Infrastructure 423
14.4 Integration of Blockchain Technology with IoT in Autonomous Vehicles 428
14.5 Conclusion 430
References 430
15 Integrating Blockchain with IoT: A Paradigm Shift in Security and Trust Management 433
Shantanu Joshi, Samaya Pillai, Abhijit Chirputkar, Sujata Joshi and Pankaj Pathak
15.1 Introduction to IoT and Blockchain Technology 434
15.2 Security Challenges in IoT 436
15.3 Blockchain as a Solution for IoT Security 444
15.4 Blockchain-Based IoT Architectures 447
15.5 Smart Contracts and Automation in IoT 450
15.6 Specific Use Cases and Applications of Blockchain in IoT 452
15.7 Conclusion 455
Bibliography 458
Index 461
About the Author :
Swati Vashisht is an Assistant Professor at the GL Bajaj Institute of Technology and Management with more than 16 years of research and academic experience. She has published more than 31 papers in international journals and conferences, several book chapters, and holds five patents. Her areas of interest include cryptography and machine learning.
Santosh Kumar Srivastava, PhD, is an Associate Professor in the Department of Computer Science and Engineering – Artificial Intelligence and Machine Learning at the GL Bajaj Institute of Technology and Management with more than 21 years of experience. He has published more than 18 papers in reputed national and international journals, conferences, and seminars, and holds seven patents. His research focuses on computer networking, wireless technology, network security, and cloud computing.
Praveen Kumar, PhD, is a Professor and Director at Astana IT University with more than 18 years of experience in teaching and research. He has published more than 140 research papers in international journals and conferences and holds ten patents and copyrights. His areas of interest include big data analytics, data mining, and machine learning.
Shubhi Gupta is an Assistant Professor at Amity University with more than 16 years of research and teaching experience. She has published several book chapters and more than 30 research papers in international journals of repute, and holds four patents. Her areas of interest include cryptography and machine learning.
