Blockchain-Based Digital Twins: Research Trends and Challenges

by A. Prasanth (Editor), Vandana Sharma (Editor), Rajesh Kumar Dhanaraj (Editor), Pethuru Raj (Editor)

Overview

A digital twin, in simple words, is a virtual model such that it accurately reflects an object or data. The usage of blockchain, along with the amalgamation of AI and big data, exploits the potential of the data generated from current industrial practices, giving rise to the digital twin model that can benefit from blockchain technology. This new book addresses this technology to actualize secure systems, networks, and environments. It details the modeling and simulation of blockchain-based digital twins and explores various applications along with challenges and opportunities. The volume explores its application in several industries, including healthcare, agriculture, and mechanics.

Product Details

ISBN-13:	9781774918425
Publisher:	Apple Academic Press
Publication date:	04/01/2025
Pages:	324
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

A. Prasanth, PhD, is an Associate Professor of Computer Science and Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. He was formerly with the Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, India. He has published over 40 articles in international journals and conference proceedings. In addition, he has published eight patents and 10 books and has served as a recognized Anna University PhD supervisor for several scholars.

Vandana Sharma, PhD, is an Associate Professor at CHRIST, Delhi, India. Dr. Sharma has served at NAAC-accredited A++ institutions such as Guru Gobind Singh Indraprastha University, Delhi; Galgotias University, Greater Noida Campus; and Amity Institute of Information Technology, Amity University Noida Campus, India. She has published more than 50 research papers in international journals and conferences and has contributed as a keynote speaker, session chair, reviewer, and technical program committee member for reputed international journals and IEEE conferences.

Rajesh Kumar Dhanaraj, PhD, is a Professor at the Symbiosis Institute of Computer Studies and Research, Symbiosis International, Pune, India. He has authored and edited books, book chapters, and over 50 articles and papers in journals and international conferences. He is a senior member of the Institute of Electrical and Electronics Engineers and member of the Computer Science Teacher Association and International Association of Engineers. He is also an expert advisory panel member of Texas Instruments Inc., USA.

Pethuru Raj, PhD, is Chief Architect and Vice President at Reliance Jio Platforms Ltd., Bangalore, India. Previously, he worked as a cloud architect at the IBM Global Cloud Center of Excellence, as well as an enterprise architect in Wipro Consulting Services and as a software architect in Robert Bosch Corporate Research. He received international research fellowships to work as a research scientist for several years at two leading Japanese universities. He has authored and edited more than 45 technology books, published more than 60 research papers, and contributed more than 50 book chapters.

Table of Contents

1. Introduction to Transformation of Blockchain-Based Digital Twins 2. Research Challenges and Opportunities in Blockchain Technology 3. Blockchain Cryptic Chills: Paving the Way for a Futuristic Internet 4. Open-Source Platforms for Implementing Blockchain-Based Digital Twins 5. Modeling and Simulation for Digital Twins of Blockchain Technology 6. Blockchain-Based Digital Twins for Authentication and Remote Resource Sharing 7. Comprehensive Analysis of Industrial Internet of Things (IIoT)-Enabling for Digital Twin and Blockchain 8. Leveraging IoT and AI Technologies for Blockchain-Based Digital Twins 9. Collaboration of Blockchain-Based Digital Twins in the Healthcare Industry: From Idea to Implementation 10. Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning 11. Blockchain-Based Digital Twin for Agricultural Field Management