The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches. The book offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas. It also presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain. The book is aimed primarily at advanced undergraduates and graduates studying computer science, computer engineering, electrical engineering, information systems, computational sciences, and information technology. Researchers and professionals will also find this book useful. The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain. The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches. The book offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas. It also presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain. The book is aimed primarily at advanced undergraduates and graduates studying computer science, computer engineering, electrical engineering, information systems, computational sciences, artificial intelligence, and information technology. Researchers and professionals will also find this book very useful. Cover Half Title Title Page Copyright Page Table of Contents Preface About the Editors List of Contributors 1. Introduction to Intelligent Computing on IoT 2.0, Big Data, and Block Chain Technology 2. A Comprehensive Survey of Blockchain in IoT 3. Real-time Cloud Applications 4. The Role of Blockchain in IoT 5. AI and Blockchain-Enabled Onion Routing Protocol to Secure IoT Communication 6. Blockchain Development in the Banking and Financial Industry 7. Blockchain-Based eCommerce Warranty System using NFTs 8. Analysis of a Queueing System with Batch Poisson Arrivals and Batch Services in Blockchain Applications 9. Emerging Trends in Sensors, IoT, and Smart Systems 10. Blockchain Development in Industries: A Systematic Review 11. Smart Agricultural System Using IoT 2.0 12. Smart Health Monitoring and Management System 13. Pollution Monitoring and Governance in Smart City using IoT 14. Sensor Technology in IoT 15. An Energy-Aware Task Scheduling Method using the Meta-Heuristic Algorithm in IoT Environments 16. Real-time Artificial Intelligence Applications in the IoT Based on Cloud Collaboration 17. IoT-Supported Dynamic Emergency Evacuation: Modelling and Simulation 18. Networking Technologies for IoT 19. Vulnerability Assessment of Industrial and Agricultural Control Systems within the IoT Framework 20. Intrusion Detection in IoT with Machine Learning and Deep Learning: A Systematic Review Untitled 21. An Enhanced Effective Methodology to Detect Intrusions Using Machine Learning Index
