Next Generation Blockchain for Next Generation Society with Futuristic Technologies

Today blockchain has been used in many finance and non-finance applications (as the concept evolved with a use in the finance sector). In the future, next-generation blockchain will provide a future society which will be built with transparency, automation, and secure digital interaction. With integrating AI, quantum-resistant cryptography, edge computing, and IoT, etc., these advanced enhancements will provide trusted ecosystems where data moves safely across smart cities, autonomous systems, and global digital markets. We will see decentralized identity, seamless machine-to-machine communication, and scalable green consensus models which will support many sectors towards sustainable growth. As immersive technologies like AR, VR, and the metaverse will expand, next-gen blockchain will provide the backbone for verified assets, ethical data use, and resilient infrastructures that empower an interconnected, intelligent world.

Amit Kumar Tyagi is working as an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (for the periods of July 2009-July 2010, and October 2012-October 2013), Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (September 2018-May 2019), VIT Chennai (June 2019- November 2022) and NIFT New Delhi (November 2022-September 2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as "AARIN" and "P3-Block" to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has published over 350 research articles in refereed high impact journals, conferences and books, and some of his articles have been awarded as best paper awards. Also, he has filed more than 15 patents (Nationally and Internationally) in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. He is a Winner of Faculty Research Award for the Year of 2020, 2021 and 2022 (consecutive three years) given by Vellore Institute of Technology, Chennai, Tamil Nadu, India. His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a senior member of IEEE.

Preface. 1. An Introduction to Blockchain Technology - Methods and Applications. 2. Blockchain Technology for the Modern Era. 3. Blockchain Technology in Smart Cities: Current Status and Future Directions. 4. Spam Detection Using Fuzzy Machine Learning Techniques. 5. A Chaotic Map-Based Authentication and Key Agreement Scheme for Cloud Environments. 6. AI-Blockchain-IoT-Cloud Computing-Digital Twin: The Perfect Solutions for Next Generation Problems. 7. Bitcoin-based Blockchain. 8. Ethereum Based Blockchain and Other Popular Cryptocurrency. 9. Alternative Blockchains. 10. Blockchain Technology and Digital Twin in Logistics and Supply Chain Management. 11. Palm Leaf Digitization: A Multi-modal Deep Learning Model for Character Reconstruction and Decentralized Federated Learning with Blockchain. 12. Q-BALAK: Quantum Blockchain-based Affordable, and Lightweight Encryption Mechanism for Agriculture. 13. Investigating the Consequences of Integrating Blockchain and Artificial Intelligence. 14. Management of Electronic Health Records of Patients Using Blockchain Technology. 15. Blockchain-Based Efficient Drone Authentication Scheme for Security Enhancement in Smart Cities. 16. Blockchain as The Future for Industry 5.0: Theories, Algorithms, and Possible Outcomes. 17. Blockchain for Next Generation Computing: Challenges, Opportunities and Emerging Trends for Modern Generation. 18. Blockchain Technology in Smart Cities: Current Status and Future Directions. 19. Intelligent Data Mining: The Role of Machine Learning and Deep Learning in Extracting Insights from Big Data. 20. Machine Learning and Deep Learning: Necessary Techniques for Extracting Meaningful Information in Large Databases. 21. Blockchain Based Smart, Secured Services for Modern Society: Applications, Challenges and Future Directions. 22. Machine Learning: A View from a Learning Perspective. 23. Top Algorithms in Machine Learning for Predicting Insights in Smart Applications. Index.