New Trends in Blockchain

1. Auflage 2026
ISBN: 978-1-032-86260-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 236 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 600 g

New Trends in Blockchain presents an inspiring exploration of how blockchain is rapidly reshaping the digital world. Beginning with core concepts, the book moves into the breakthrough innovations driving global adoption—scalable architectures, privacy-focused frameworks and advanced smart contract solutions. It showcases exciting real-world integrations where blockchain and AI work together to secure Healthcare IoT, enhance food supply chain safety and optimize solar microgrid energy systems. Practical applications such as blockchain-based land registries and secure e-degree vaults highlight its power to build trust and transparency. The book also examines blockchain’s influence in international markets and offers an optimistic, forward-looking view of how decentralized technologies may evolve alongside AGI. Together, these insights create a compelling guide to blockchain’s vibrant and transformative future.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Naithani, Kanchan

Tiwari, Shrikant

Danu, Abhishek

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. Introduction to Blockchain. 2. Scaling the Blockchain Horizon: Bridging Innovation and Mass Adoption. 3. Privacy-Focused Blockchains. 4. A Blockchain-Fortified Deep Learning Approach for Intrusion Detection in Healthcare IoT. 5. Transforming Land Registries with Blockchain Smart Contracts. 6. Confidential E-Degree Vault Using Block Chain Technology. 7. Blockchain and AI: A Synergistic Approach to Anomaly Detection in Food Supply Chain. 8. Experimental Study of Solar Microgrid with AI and Block Chain based Energy Storage Optimization—An Analysis. 9. Blockchain in the International Market. 10. Synergy of Minds and Blocks: The Future of AGI and Blockchain.

Über Autor(innen)

Kanchan Naithani received her Ph.D. in the department of Computer Science and Engineering at H.N.B. Garhwal University (A Central University), Srinagar Garhwal, Uttarakhand, India (2024). She completed M. Tech in Computer Science and Engineering from G. B. Pant Engineering Institute of Technology, Ghurdauri, Pauri, Uttarakhand, India (2018) and B. Tech in Computer Science and Engineering from Graphic Era Hill University, Dehradun India (2016). Currently, she is working as an Assistant Professor in the Computer Science and Engineering, at GL Bajaj Institute of Technology and Management, Greater Noida, Gautam Budha Nagar, Uttar Pradesh-203201 (India). She has authored and co-authored more than twenty papers (according to Scopus Database) in refereed high impact journals, conferences, and books, and some of her articles were given best paper awards. She has filed two patents (Nationally and Internationally) in the area of Deep Learning and Internet of Things. She has edited two books for CRC Press and IGI Global. Her research interests focus on Artificial Intelligence, Machine Learning, Sentiment Analysis and Natural Language Processing. She is a lifetime member of the IAENG Society of Artificial Intelligence and the IAENG Society of Computer Science.

Shrikant Tiwari (Senior Member, IEEE) received his Ph.D. in the Department of Computer Science and Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India, in 2012, and his M. Tech. in Computer Science and Technology from the University of Mysore, India, in 2009. Currently, he serves as a Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India.

Dr. Tiwari has published over seventy-five plus papers in refereed high-impact journals, conferences, and books, with several of his articles receiving best paper awards. He has also filed more than 10 patents, both nationally and internationally, in the areas of deep learning, the Internet of Things, cyber-physical systems, and computer vision. Additionally, he has edited more than five books for prestigious publishers such as IET, Elsevier, Springer, and CRC Press. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics.

Dr. Tiwari is a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE), Senior Member of IEEE and a member of the Association for Computing Machinery (ACM), the Institution of Engineering and Technology (IET), the Computer Society of India (CSI), the Indian Society for Technical Education (ISTE), the International Association of Engineers (IAENG), and the Science and Engineering Institute (SCIEI). He also serves as a guest editorial board member and reviewer for numerous international journals of repute.

Abhishek Danu is working as a Senior Research Fellow (UGC-SRF) in the Department of Business Management, H.N.B. Garhwal University (A Central University), Srinagar Garhwal, Uttarakhand, India. He completed his B. tech in electrical engineering from DIT University, Dehradun, Uttarakhand, India, in 2017, and completed his MBA (Marketing & Finance) from H.N.B. Garhwal University (A Central University), Srinagar Garhwal, Uttarakhand, India, in 2019. He has previously worked as a marketing manager for a solar technology firm. He cleared UGC NET in Management in 2020 and UGC NET with JRF in 2022. He has published research articles and book chapters with reputed publishers. He has also presented his research papers in national and international conferences. His research interests include International Trade, International Business, Financial Development, Open Economy Macroeconomics, Artificial Intelligence and Machine Learning.