The Role of Blockchain in Disaster Management

by Ayan Kumar Das (Editor), Ditipriya Sinha (Editor), Siddhartha Bhattacharyya PhD (Editor), Debashis De PhD (Editor)

Overview

Humans and other living organisms are affected by natural as well as man-made disasters. Most recently, the Covid19 pandemic caused a worldwide healthcare disaster resulting in unprecedented changes in the global economy, the global healthcare system, as well as professional and personal life. The process of recovering from such disasters incurs high costs and time due to the lack of coordination between various relief teams and the inefficient distribution of relief materials such as food, water, and medicine. The prediction or early detection of disasters as well as the prevention of relief fund mismanagement are major concerns for researchers. The Role of Blockchain in Disaster Management explores the latest research in the architecture and implementation of existing blockchain-based IoT frameworks for the detection and prevention of disasters as well as the management of relative supply chains, to protect against mismanagement of essential materials. The distributed nature of Blockchain helps to protect data from internal or external attacks, especially in disaster areas or times of crisis when database systems become overloaded and vulnerable to unauthorized access, manipulation, and disruption of critical services. This book can be used as a reference by graduate students, researchers, professors, and professionals in the fields of computer science, software design, and disaster management. - Presents the design of blockchain-based frameworks for disaster management and their performance evaluation to help compare proposed frameworks - Introduces applications of machine learning techniques to make disaster management systems more intelligent and enable more accurate data analysis/prediction - Addresses data security issues as key examples that can be prevented through the application of blockchain technology

Product Details

ISBN-13:	9780443134739
Publisher:	Elsevier Science & Technology Books
Publication date:	10/23/2024
Series:	Hybrid Computational Intelligence for Pattern Analysis and Understanding
Sold by:	Barnes & Noble
Format:	eBook
Pages:	250
File size:	25 MB
Note:	This product may take a few minutes to download.

About the Author

Ayan Kumar Das is an assistant professor at the Birla Institute of Technology, Mesra. His research interests are on wireless sensor networks, the Internet of Things, cloud computing, and blockchain. He is a reviewer for many journals, including Multimedia Tools and Applications, Journal of Super Computing, IEEE IoT, and others.
Ditipriya Sinha is an assistant professor at the in the National Institute of Technology, Patna. She has published in more than 20 reputable SCI/Scopus indexed journals, and published research papers at more than 50 reputable conferences. She has recently completed a DST SERB project titled "Energy Efficient Forest Fire Detection in WSN." She has provided expert lectures in many faculty development programs and international conferences. She is a reviewer for several journals, including Multimedia Tools and Applications, Journal of Super Computing, IEEE IoT, etc. Her area of research focuses on mobile ad-hoc networks, wireless sensor networks, blockchain, cyber security, and scheduling algorithms.
Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit.
Debashis De is a professor at MAKAUT, WB, India. He is a senior member-IEEE, fellow IETE, and life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from DEST Australia to work at the University of Western Australia and received the Young Scientist twice in New Delhi and in Istanbul, Turkey, from the International Union of Radio Science, Belgium. He established the Center of Mobile cloud computing (CMCC) for IoT applications, and is vice-chair of Dew Computing STC of IEEE Computer Society. Dr. De has published in 320 journals and 200 conference papers, 15 books, and filed ten patents. His research interests are in edge AI, IoT, and quantum computing.

Table of Contents

- Introduction - Blockchain-based model for disaster relief supply chain management - Blockchain of things for smart disaster management - Emergency response to natural disaster victim identification: Blockchain to the rescue - Application of blockchain technology in disaster risk management - Intelligent blockchain technology for health disaster management systems: Lessons from COVID-19 and way forward - A blockchain leveraged postdisaster relief allocation system over an incentive-based DTN - Blockchain-based healthcare assistance model in distributed disaster management systems - Blockchain-based supply chain management for smart disaster relief - iDroneChain: Intelligent EdgeDrone and blockchain-based secured data delivery for forest fire surveillance - Blockchain-based secured immunization technique towards health disaster management - Concluding remarks

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From the Publisher

Evaluates the latest key concepts, approaches, and applications of existing blockchain-based IoT frameworks for disaster management