Dr. Rajiv Pandey is a Faculty member at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus, India. He possesses a diverse background experience of around 35 years to include 15 years in industry and 20 years of academic research and instruction. His research interests include blockchain and crypto currencies, information security, semantic web provenance, Cloud computing, Big Data, and Data Analytics. Dr. Pandey is a Senior Member of IEEE and has been a session chair and technical committee member for various IEEE conferences. He has been on the technical committees of various government and private universities, and is the editor of Quantum Computing: A Shift from Bits to Qubits from Springer, Data Modelling and Analytics for the Internet of Medical Things from CRC Press/Taylor & Francis, and Artificial Intelligence and Machine Learning for Edge Computing from AP/Elsevier.Dr Sam Goundar is an established author, editor, and researcher in artificial intelligence, cyber security, data science, blockchain, digital transformation, and emerging technologies. He has written or edited numerous books on AI, digital innovation, and intelligent systems with leading publishers, reflecting a long-standing focus on the societal and technical dimensions of AI. He has a strong publication record in AI-related domains, including research on explainability, AI-enabled decision making, AI governance, intrusion detection, and applied machine learning. These publications show a sustained and credible research trajectory that directly aligns with the topics covered in this book. Dr. Goundar has published more than 150 peer-reviewed journal articles and book chapters, in addition to more than 20 authored and edited books. He also serves as Editor-in-Chief of multiple international journals and has overseen the review, curation, and publication of research in AI, ethics, digital systems, and technology policy. This long editorial experience ensures high standards of structure, clarity, and coherence across multi-author volumes. Dr. Goundar has taught artificial intelligence, machine learning, and digital ethics at universities across Asia, the Pacific, and Central Asia. His teaching integrates theory with real-world applications, giving him a practical understanding of how AI systems influence learning, governance, public administration, and daily life. This hands-on experience allows him to approach AI not only as a researcher but also as a practitioner who has seen the challenges of AI adoption in different cultural and institutional environments. His international collaborations with research networks, policy groups, and technology-focused organisations further strengthen his authority in areas such as AI governance, responsible innovation, cyber security, and digital transformation. Dr. Shahnaz Fatima is a Faculty member in the Institute of Information Technology at Amity University, Lucknow, India. Her research interests are Human Computer Interaction, Data Mining, Deep Mining, Semantic Web, Edge Computing, and IoT. She is involved in supervising Doctorate Research Scholars and Post Graduate Students in the Institute of Information Technology. She is a member of the International Association of Computer Science and Information Technology (IACSIT).

• Section A - Evolution of distributed system1. Decentralized web, distributed ledgers, and build up to blockchains2. Decentralized everything: A practical use of blockchain technology in future applications3. Distributed computing to blockchain: Architecture, technology, and applications4. Types of blockchain5. Blockchain types: A characteristic view6. DApps: Decentralized applications for blockchains7. Analyzing information flow in Solidity smart contracts8. Formal verification and code generation for solidity smart contracts9. Blockchain consensus algorithms: Past, present, and future trends10. A systematic study on the development of decentralized application (dApp)11. AI, IoT, blockchain, and cloud computing: A necessity of the future12. Functional analysis of blockchain consensus algorithmsSection B - Blockchain architecture and security13. Blockchain and forensics14. Cryptography in blockchain15. Ethereum blockchain platform16. Hyperledger Fabric blockchain platform17. An in-depth look at blockchain technology: Architecture and security concerns18. Blockchain-based IoT security solutions19. Crypto economicsSection C - Distributed computing20. Distributed databases, distributed operating systems, and blockchain21. Demystifying blockchain adoption in financial sector—A critical analysis22. e-Governance and blockchainbased data supply chain for used cars23. Emerging trends of blockchain in bioinformatics: A revolution in health care24. Blockchain’s potential to rescue sports: A social media perspective25. Design and development of a mobile application for level monitoring of oxygen cylinders using block chain technology26. A futuristic approach to decentralize and authenticate workplace safety records leveraging on blockchain distributed ledger network27. Designing business models through blockchain: A process of value creation

Dr. Rajiv Pandey is a Faculty member at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus, India. He possesses a diverse background experience of around 35 years to include 15 years in industry and 20 years of academic research and instruction. His research interests include blockchain and crypto currencies, information security, semantic web provenance, Cloud computing, Big Data, and Data Analytics. Dr. Pandey is a Senior Member of IEEE and has been a session chair and technical committee member for various IEEE conferences. He has been on the technical committees of various government and private universities, and is the editor of Quantum Computing: A Shift from Bits to Qubits from Springer, Data Modelling and Analytics for the Internet of Medical Things from CRC Press/Taylor & Francis, and Artificial Intelligence and Machine Learning for Edge Computing from AP/Elsevier.Dr Sam Goundar is an established author, editor, and researcher in artificial intelligence, cyber security, data science, blockchain, digital transformation, and emerging technologies. He has written or edited numerous books on AI, digital innovation, and intelligent systems with leading publishers, reflecting a long-standing focus on the societal and technical dimensions of AI. He has a strong publication record in AI-related domains, including research on explainability, AI-enabled decision making, AI governance, intrusion detection, and applied machine learning. These publications show a sustained and credible research trajectory that directly aligns with the topics covered in this book. Dr. Goundar has published more than 150 peer-reviewed journal articles and book chapters, in addition to more than 20 authored and edited books. He also serves as Editor-in-Chief of multiple international journals and has overseen the review, curation, and publication of research in AI, ethics, digital systems, and technology policy. This long editorial experience ensures high standards of structure, clarity, and coherence across multi-author volumes. Dr. Goundar has taught artificial intelligence, machine learning, and digital ethics at universities across Asia, the Pacific, and Central Asia. His teaching integrates theory with real-world applications, giving him a practical understanding of how AI systems influence learning, governance, public administration, and daily life. This hands-on experience allows him to approach AI not only as a researcher but also as a practitioner who has seen the challenges of AI adoption in different cultural and institutional environments. His international collaborations with research networks, policy groups, and technology-focused organisations further strengthen his authority in areas such as AI governance, responsible innovation, cyber security, and digital transformation. Dr. Shahnaz Fatima is a Faculty member in the Institute of Information Technology at Amity University, Lucknow, India. Her research interests are Human Computer Interaction, Data Mining, Deep Mining, Semantic Web, Edge Computing, and IoT. She is involved in supervising Doctorate Research Scholars and Post Graduate Students in the Institute of Information Technology. She is a member of the International Association of Computer Science and Information Technology (IACSIT).

• Section A - Evolution of distributed system1. Decentralized web, distributed ledgers, and build up to blockchains2. Decentralized everything: A practical use of blockchain technology in future applications3. Distributed computing to blockchain: Architecture, technology, and applications4. Types of blockchain5. Blockchain types: A characteristic view6. DApps: Decentralized applications for blockchains7. Analyzing information flow in Solidity smart contracts8. Formal verification and code generation for solidity smart contracts9. Blockchain consensus algorithms: Past, present, and future trends10. A systematic study on the development of decentralized application (dApp)11. AI, IoT, blockchain, and cloud computing: A necessity of the future12. Functional analysis of blockchain consensus algorithmsSection B - Blockchain architecture and security13. Blockchain and forensics14. Cryptography in blockchain15. Ethereum blockchain platform16. Hyperledger Fabric blockchain platform17. An in-depth look at blockchain technology: Architecture and security concerns18. Blockchain-based IoT security solutions19. Crypto economicsSection C - Distributed computing20. Distributed databases, distributed operating systems, and blockchain21. Demystifying blockchain adoption in financial sector—A critical analysis22. e-Governance and blockchainbased data supply chain for used cars23. Emerging trends of blockchain in bioinformatics: A revolution in health care24. Blockchain’s potential to rescue sports: A social media perspective25. Design and development of a mobile application for level monitoring of oxygen cylinders using block chain technology26. A futuristic approach to decentralize and authenticate workplace safety records leveraging on blockchain distributed ledger network27. Designing business models through blockchain: A process of value creation

Dr. Rajiv Pandey is a Faculty member at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus, India. He possesses a diverse background experience of around 35 years to include 15 years in industry and 20 years of academic research and instruction. His research interests include blockchain and crypto currencies, information security, semantic web provenance, Cloud computing, Big Data, and Data Analytics. Dr. Pandey is a Senior Member of IEEE and has been a session chair and technical committee member for various IEEE conferences. He has been on the technical committees of various government and private universities, and is the editor of Quantum Computing: A Shift from Bits to Qubits from Springer, Data Modelling and Analytics for the Internet of Medical Things from CRC Press/Taylor & Francis, and Artificial Intelligence and Machine Learning for Edge Computing from AP/Elsevier.Dr Sam Goundar is an established author, editor, and researcher in artificial intelligence, cyber security, data science, blockchain, digital transformation, and emerging technologies. He has written or edited numerous books on AI, digital innovation, and intelligent systems with leading publishers, reflecting a long-standing focus on the societal and technical dimensions of AI. He has a strong publication record in AI-related domains, including research on explainability, AI-enabled decision making, AI governance, intrusion detection, and applied machine learning. These publications show a sustained and credible research trajectory that directly aligns with the topics covered in this book. Dr. Goundar has published more than 150 peer-reviewed journal articles and book chapters, in addition to more than 20 authored and edited books. He also serves as Editor-in-Chief of multiple international journals and has overseen the review, curation, and publication of research in AI, ethics, digital systems, and technology policy. This long editorial experience ensures high standards of structure, clarity, and coherence across multi-author volumes. Dr. Goundar has taught artificial intelligence, machine learning, and digital ethics at universities across Asia, the Pacific, and Central Asia. His teaching integrates theory with real-world applications, giving him a practical understanding of how AI systems influence learning, governance, public administration, and daily life. This hands-on experience allows him to approach AI not only as a researcher but also as a practitioner who has seen the challenges of AI adoption in different cultural and institutional environments. His international collaborations with research networks, policy groups, and technology-focused organisations further strengthen his authority in areas such as AI governance, responsible innovation, cyber security, and digital transformation. Dr. Shahnaz Fatima is a Faculty member in the Institute of Information Technology at Amity University, Lucknow, India. Her research interests are Human Computer Interaction, Data Mining, Deep Mining, Semantic Web, Edge Computing, and IoT. She is involved in supervising Doctorate Research Scholars and Post Graduate Students in the Institute of Information Technology. She is a member of the International Association of Computer Science and Information Technology (IACSIT).

• Section A - Evolution of distributed system1. Decentralized web, distributed ledgers, and build up to blockchains2. Decentralized everything: A practical use of blockchain technology in future applications3. Distributed computing to blockchain: Architecture, technology, and applications4. Types of blockchain5. Blockchain types: A characteristic view6. DApps: Decentralized applications for blockchains7. Analyzing information flow in Solidity smart contracts8. Formal verification and code generation for solidity smart contracts9. Blockchain consensus algorithms: Past, present, and future trends10. A systematic study on the development of decentralized application (dApp)11. AI, IoT, blockchain, and cloud computing: A necessity of the future12. Functional analysis of blockchain consensus algorithmsSection B - Blockchain architecture and security13. Blockchain and forensics14. Cryptography in blockchain15. Ethereum blockchain platform16. Hyperledger Fabric blockchain platform17. An in-depth look at blockchain technology: Architecture and security concerns18. Blockchain-based IoT security solutions19. Crypto economicsSection C - Distributed computing20. Distributed databases, distributed operating systems, and blockchain21. Demystifying blockchain adoption in financial sector—A critical analysis22. e-Governance and blockchainbased data supply chain for used cars23. Emerging trends of blockchain in bioinformatics: A revolution in health care24. Blockchain’s potential to rescue sports: A social media perspective25. Design and development of a mobile application for level monitoring of oxygen cylinders using block chain technology26. A futuristic approach to decentralize and authenticate workplace safety records leveraging on blockchain distributed ledger network27. Designing business models through blockchain: A process of value creation