Master the construction of robust distributed systems with this technical roadmap, providing the large-scale algorithms and synchronization protocols needed to power a seamless, low-latency metaverse.
The metaverse is becoming an increasingly popular space for a number of industries, including gaming, healthcare, education, and social media. As the use of this technology grows, so do concerns about data management and privacy. This book is a discussion and analysis of this technology and the methods needed to construct and improve distributed systems in the metaverse. It discusses the creation of large-scale algorithms and protocols aimed at furthering interactions in immersive virtual environments. Through a clear explanation of the dependence on more efficient, secure, and distributed systems to support the metaverse, this book explains how data can be synchronized and securely stored across different platforms, allowing for real-time interconnectivity with relatively low delay in transfer. The book also takes a closer look at security and privacy concerns in distributed metaverse systems, including privacy-preserving methods, decentralized identity solutions, and sustainable methods of authentication. Providing case studies, simulation results, and real examples, this book offers a theoretical background with practical guidelines, enabling readers to address challenges and seize the potential of distributed systems in the metaverse.
Table of Contents:
Preface xix
1 BS-CDA: An Adaptive Biomimetic Swarm Algorithm for Metaverse Content Distribution 1
Sashi Tarun
2 Data Consistency and Synchronization in Distributed Metaverse Systems 31
Shivek S. Mittal, Gagandeep Kaur and Ashima Kukkar
3 Consensus Mechanisms and Blockchain Integration in the Metaverse 83
Amit Sandhu and Yogesh Shahare
4 Future Trends in Distributed Systems for Metaverse Applications 103
Suchitra B., J. Ramkumar and Malik Jawarneh
5 CryptoVault: A Secure Cloud Storage Platform Using New Lightweight Cryptographic Algorithm for High Computational Efficiency without Compromising Encryption Strength 139
Pranav Rajput, Vinayak Sharma, Sehajpreet Kaur and Hari Singh
6 Developing and Implementing Privacy Preserving Security Protocols for User Data Protection in the Decentralized Metaverse Ecosystem 159
Aditya Bhushan, Chhaya Dubey and Ashutosh Kumar Singh
7 Decentralized Identity and Authentication in Metaverse Spaces 187
Tushar Kumar Singh, Anchal Singh, Pronika Chawla, Shobha Tyagi and Kushagra Agrawal
8 RL-RRPS: An Adaptive Reinforcement Learning-Based Ripple Replica Propagation Strategy for Distributed Systems 211
Sashi Tarun
9 Secure Protocols for Scalable Metaverse Architecture 239
Priya Batta and K. M. Meenakshi
10 AI-Enhanced Distributed Algorithms for Metaverse Optimization 255
Inam Ul Haq and Abhishek Kumar
11 Blockchain-Driven Metaverse Framework for Smart Agriculture Using Wireless Sensor Networks 283
Priyadharshini Sivaraj, Naveenbalaji Gowthaman and S. Pavithra
12 Optimizing Distributed Algorithms for Real-Time Interaction in the Metaverse 297
Kumud Sachdeva and Ayush Mahanta
13 MetaGuard: A Blockchain-Enabled Federated Zero-Knowledge Identity Framework with Adaptive Privacy for Secure Cross-Metaverse Ecosystems 329
Naveenbalaji Gowthaman and Jejo J.
14 Privacy Preserving Metaverse Threat Intelligence Grid (PM CTIG) 349
Naveenbalaji Gowthaman, Jejo J., Priyadharshan Vadivel and Manoj Shanmugam
15 Integrating AR/VR and Digital Twin in Metaverse for Sustainable Healthcare 365
Lav Soni and Ashu Taneja
References 389
Index 393
About the Author :
Abhishek Kumar, PhD is an Assistant Director and Professor in the Computer Science and Engineering Department at Chandigarh University. He has published more than 220 publications in reputed, peer-reviewed national and international journals, authored seven books, and edited more than 110 books. His research includes artificial intelligence, renewable energy image processing, computer vision, data mining, and machine learning.
Sashi Tarun, PhD is an Associate Professor and Academic Coordinator at Chandigarh University with more than 12 years of experience. He has more than ten publications in international journals and conferences. His research focuses on distributed systems, including fragmentation, allocation, replication, and deduplication.
Anita Sardana, PhD is an Assistant Professor in the Computer Science and Engineering Department at the Jaypee University of Information Technology. She has more than 20 research publications in reputed journals and conferences, and filed nine Indian design patents. Her research interests include machine learning, cloud computing, and agile software development.
Abhineet Anand, PhD is the Dean of the Computer Science and Engineering Department and a Dean of Research at Bahra University with more than 22 years of experience. He has published more than 40 papers in international journals and conferences. His research interests include cloud computing, load balancing, nearest neighbor method, clustering, and optical fiber switching in wavelength multiplexing.
