Blockchain, Internet of Things, and Artificial Intelligence
- Available for pre-order. Item will ship after April 2, 2021
Blockchain, Internet of Things, and Artificial Intelligence provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT and AI technologies. State-of-the-art techniques are explored in-depth to discuss the challenges faced in each domain. The convergence of these revolutionized technologies has leveraged several areas that paid good attention by academicians and industry people which in turn promote the book accessibility more extensively.
Discussions about an integrated perspective on the influence of AI, BC and IoT for smart cities, healthcare, and other business sectors illuminates the benefits and opportunities in the ecosystems world-wide. The authors have focused on the real-world examples and applications and highlighted the significance of its strength that will transform the readers thinking towards finding potential solutions.
The faster maturity and stability of blockchain is going to be the key differentiator in Artificial Intelligence and the Internet of Things. This book discusses the deadly combination in realizing intelligent systems, services, and environments. The contributors have presented their technical evaluation and comparison with existing technologies; the theoretical explanation and experimental case studies related to real-time scenarios are also discussed.
- Discusses how blockchain holds the potential to significantly increase data while boosting accuracy and integrity in IoT generated data and AI processed information.
- Elucidates definitions, concepts, theories and assumptions involved in a smart contract and distributed ledger related to IoT systems and AI approaches.
- Provides the real-world use of blockchain technologies in different IoT systems and further studies of its influence in supply chain and logistics, automotive industry, smart homes, pharmaceutical industry, agriculture, etc. are also presented.
- Readers can still find the way of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain. Perhaps, more importantly, it will provide the readers to get aware of how the industry avoid some of the pitfalls of traditional data sharing strategies.
This book is suitable for graduates, academic professors, research scholars, IT professionals, and industry experts.
Table of Contents
1. Blockchain. 1.1. Introduction. 1.2. Components of Blockchain. 1.3. Types of Blockchain. 1.4. Blockchain Use cases. 1.5. Challenges and Opportunities. 1.6. Conclusion. 2. Internet of Things. 2.1 Introduction. 2.2. History of IoT. 2.3. Characteristics of IoT. 2.4. Advantages of Internet of Things. 2.5. IoT Challenges. 2.6. IoT Architecture. 2.7. Relevance of Blockchain. 2.8. IoT security Framework. 2.9. Conclusion. 3. Artificial Intelligence. 3.1. Introduction. 3.2. Intellectual Overview of Artificial Intelligence. 3.3. Frontiers of Artificial Intelligence. 3.4. AI Algorithms and Approaches. 3.5. Challenges faced in converging blockchain and AI techniques. 3.6. Conclusion. 4. Blockchain for Internet of Things – I. 4.1. Introduction. 4.2. Blockchain IoT Paradigm. 4.3. Blockchain Technologies for IoT Environment. 4.4. Conclusion. 5. A comprehensive overview of Block chain driven IoT applications. 5.1. Introduction. 5.2. Blockchain Overview. 5.3. IT Protocols Stack. 5.4. Beyond cryptocurrencies and bitcoin. 5.5. Case study on Decentralized Block Chain approach for Healthcare systems. 5.6. Performance Challenges of Block chain driven IoT applications. 5.7 Conclusion and future scope. 6. Artificial Intelligence for Blockchain – I. 6.1. Introduction. 6.2. Blockchain Ledger Data Decision Using Artificial Intelligence. 6.3. Increasing Blockchain Efficiency Using AI. 6.4. Blockchain-based Decentralized Artificial Intelligence. 6.5. Sensitive Blockchain Backup using AI. 6.6. Combining Blockchain & AI for Monetization of data. 6.7. Trusting AI Decision Making for Blockchain Environment. 6.8. Conclusion. 7. Artificial Intelligence for Blockchain-II Introduction. 7.1. Performing data-centric analysis and information flow by integrating blockchain and AI. 7.2. AI-based healthcare using smart contracts (blockchain). 7.3. Decentralizing and accelerating biomedical research and healthcare by integrating Blockchain technology and artificial intelligence. 7.4. Using AI and blockchain to personalize treatment plans and diagnosis. 8. Fusion of IoT, Blockchain and Artificial Intelligence for developing Smart Cities. 8.1. Introduction. 8.2. Consent Management based on Blockchain and AI in IoT ecosystem. 8.3. Blockchain to secure IoT against attacks. 8.4. Artificial Intelligence for IoT enabled Smart Cities. 8.5. Optimizing Risk Minimization in Smart Cities using Blockchain. 8.6. Securing smart city using Blockchain Technology. 8.7. Conclusion. 9. Impact of AI, BC and IoT for Smart Cities. 9.1. Introduction. 9.2. How Does Blockchain work. 9.3. Blockchain Security. 9.4. Integration of IoT over Blockchain. 9.5. Stalker Miner. 9.6. Conclusion. 10. Influence of AI, IoT and BC for Healthcare in Smart Cities. 10.1 Introduction to Evolution of Healthcare. 10.2 Smart Healthcare. 10.3 Personalized Healthcare. 10.4 Elderly Healthcare. 10.5 Patient Management. 10.6 Conclusion. 11. Influence of AI, BC and IoT for Healthcare-II. 11.1. Introduction. 11.2. Applications of Machine learning Techniques for EHR maintenance. 11.3. Application of IoT in Health Care. 11.4. Application of Blockchain in Healthcare – A case study. 11.5 Detecting fraudulent behaviour. 11.6. Payments through crypto currency. 11.7. Robo dentists. 11.8. Conclusion. 12. How IoT, AI, and Blockchain will revolutionize business. 12.1. Introduction. 12.2. Internet of Things. 12.3. Artificial Intelligence. 12.4. Blockchain. 12.5. Business Models on the Intersection of IoT, AI and Blockchain. 12.6. Emerging Trends in Financial Services. 12.7 Catalyst of Digital Transformation. 12.8. Conclusion. 13. Storage, System Security and Access Control for Big Data IoT. 13.1. Introduction. 13.2. Big data integration with IoT. 13.3. Storage Technologies. 13.4. Security Attacks at the IoT Layered Architectures and Protection with security mechanisms. 13.5. Access control Mechanisms. 13.6. Key Challenges and Future Directions. 13.7. Conclusion. 14. Security challenges and mitigation approaches for smart cities. 14.1. Introduction. 14.2. Database Authorization Workflow and Management Structure. 14.3. Database Security System. 14.4. Smart City Infrastructure. 14.5. Challenges and Security Issues. 14.6. Security Mechanism and Mitigations. 14.7. Network Layer Based Security Management System. 14.8. Future Direction. 14.9. Conclusion. 15. Security of IoT in Health Care. 15.1. Introduction. 15.2. Key Qualities of IoT. 15.3. Applications of IoT. 15.4. Types of IoT enabled devices. 15.5. IoT Integrated Healthcare Devices. 15.6. Security in IoT. 15.7. Security Challenges in IoT based devices. 15.8. Security Architecture. 15.9. Vulnerabilities of IoT Devices. 15.10. Security Attacks towards IoT and WSN. 15.11. Security Attacks towards IoT and RFID. 15.12. Conclusion. 16. Healthcare Internet of Things – The role of Communication Tools and Technologies. 16.1. Introduction. 16.2. IoT Tools and Technologies. 16.3. Low Power Embedded Systems. 16.4. Communication Options. 16.5. IoT Device Management. 16.6. IoT Analytics. 16.7. Conclusion.
Dr Naveen Chilamkurti is the reader/associate professor and currently the cybersecurity discipline head, Computer Science and IT in La Trobe University, Australia. He received his PhD from La Trobe University in 2005. He is also the Inaugural Editor-in-Chief for International Journal of Wireless Networks and Broadband Technologies launched in July 2011. He is the author of various journal articles as well as the author of multiple books.
Dr Chilamkurti was the Head of Department (Bundoora and Bendigo Campus), Computer Science and Information Technology from April 2014 –2016.
Dr T. Poongodi is an Associate Professor in the School of Computing Science and Engineering, Galgotias University, India. She received her PhD in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. Her main research areas include Big Data, Internet of Things, Ad-hoc networks, Network Security and Blockchain Technology. She is pioneer researcher in the areas of Bigdata, Wireless network, Internet of Things and has published multiple times in various international journals.
Dr. Balamurugan Balamurugan is professor in the School of Computing Science and Engineering, Galgotias University, India. His main research areas include Big Data, Network Security and cloud computing. He is the author of more than 150 papers.