Hybridization of Blockchain and Cloud Computing: Overcoming Security Issues in IoT

M. Lawanya Shri

ISBN 10: 1774912163 / ISBN 13: 9781774912164

Published by Apple Academic Press Inc., 2023

About this Item

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Bibliographic Details

• Title: Hybridization of Blockchain and Cloud Computing: Overcoming Security Issues in IoT
• Publisher: Apple Academic Press Inc.
• Publication Date: 2023
• Language: English
• ISBN 10: 1774912163
• ISBN 13: 9781774912164
• Binding: Hardback
• Condition: New

About this title

Synopsis

Exploring many aspects of blockchain technologies and providing an overview of the latest cuttingedge developments along with their diversified business applications, this volume addresses the challenges, emerging issues, and problems in classical centralized architecture and covers how blockchain platforms provide almost magical solutions and novel services for improving business processes.

Focusing on blockchain technology-based distributed transactions for industrial use, the chapters address applications in sectors such as healthcare, pharmaceutical drug supply, finance and banking, agriculture and farming, semantic web services, etc. The book explores blockchain applications associated with security issues, cryptocurrencies, cloud computing, Internet of Things, estimating intelligence (of crows, as an example) using artificial intelligence, and more. The chapters discuss deployment, feasibility studies, and the many diverse services offered by blockchain technology

About the Author

M. Lawanya Shri, PhD, is Associate Professor at the School of Information Technology and Engineering at the Vellore Institute of Technology, Tamil Nadu, India. She has published papers in international journals, conference proceedings, and book chapters, and co-authored the book Computer Architecture for Beginners. Her research work focuses on blockchain technology, artificial intelligence, cloud computing, web services, and IoT.

E. Gangadevi is Assistant Professor in the Department of Computer Science at Loyola College, Chennai, India. She holds two patents and has published book chapters and research papers in international journals. She also published a book on database management systems and wrote a higher secondary computer book for the state government of Tamil Nadu. Her areas of research are machine learning, deep learning, IoT, and cloud computing.

K. Santhi, PhD, is Assistant Professor in the School of Information Technology and Engineering at the Vellore Institute of Technology, Tamil Nadu, India. She has more than 14 years of teaching experience. Her areas of research include wireless networks, cloud computing, and computer architecture. She has published several research papers in peer-reviewed international journals. She is a life member of the Computer Society of India.

Chiranji Lal Chowdhary, PhD, is Associate Professor in the School of Information Technology and Engineering at the Vellore Institute of Technology, Tamil Nadu, India. He was formerly at the M.S. Ramaiah Institute of Technology in Bangalore. His work mainly focuses on the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. He is editor/co-editor of several books and is the author of many research articles on computer science.