Academic Press Blockchain Technology for Emerging Applications: A Comprehensive Approach (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

Blockchain Technology for Emerging Applications: A Comprehensive Approach explores recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas, including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, ballot-casting, architecture, smart urban communities, and digital rights administration. The book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks. It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis. Review Provides advanced coverage on the latest research trends in blockchain-enabled applications From the Back Cover <p><i>Blockchain Technology for Emerging Applications: A Comprehensive Approach </i>explores the most recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, electronic ballot-casting, architecture, smart urban communities, and digital rights administration. This book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks. It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis. Chapters cover a broad range of tools and techniques and are balanced between theoretical and practical coverage of a wide range of issues in blockchain technology.</p> About the Author SK Hafizul Islam received Ph.D. (CSE) from IIT (ISM) Dhanbad, India, under the INSPIRE Fellowship Ph.D. Program (funded by the DST, Government of India). He is currently an Assistant Professor at IIIT Kalyani, West Bengal, India. Before joining the IIIT Kalyani, he was an Assistant Professor at the BITS Pilani, Rajasthan, India. He has authored or co-authored 125 research papers in journals and conference proceedings of international reputes. His research interests include Information Security, Lattice-based Cryptography, IoT & Blockchain Security, and Deep Learning. He is an Associate Editor for "IEEE J-BHI", "IEEE T-ITS", "IEEE Systems Journal", "IEEE Access", “IJCS (Wiley), “Telecommunication Systems (Springer)", "IET Wireless Sensor Systems", “Journal of Cloud Computing (Springer), and Technical Committee Member for “Computer Communications (Elsevier). He is the recipient of the University Gold Medal, the S. D. Singha Memorial Endowment Gold Medal, and the Sabitri Parya Memorial Endowment Gold Medal from Vidyasagar University, in 2006. He was also the recipient of the University Gold Medal from IIT(ISM) Dhanbad in 2009. Arup Kumar Pal is currently working as an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, India. Before joining this institute, he was a lecturer in the Department of Computer Science and Engineering, NIT Jamshedpur, from April 2011 to December 2011. He received his BTech in Computer Science and Engineering from Government College of Engineering and T