The Role of Blockchain in Disaster Management explores the architecture and implementation of existing blockchain-based IoT frameworks for the detection and prevention of disasters, along with 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 computer science, software design, and disaster management.
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1. Introduction?(Editors) 2. Review of Intelligent Blockchain Technology for disaster management (Editors) 3. Multimodal fusion-based smart disaster management 4. Blockchain-based supply chain management for smart disaster relief 5. A novel blockchain-based framework for intelligent routing during disasters 6. Smart Fog-based three-layer Forest fire detection 7.?Energy Efficient Blockchain-based Sybil Secured Intelligent Forest Fire Detection Framework 8. Drone Chain-based Smart Forest Fire Surveillance System 9. Blockchain-of-things for smart flood detection and management 10.?Smart Healthcare Disaster Management using Blockchain 11. An Intelligent Blockchain-based Framework for Vaccine Management towards protection from COVID- 12. Blockchain Based Secured Forest Fire Prediction with secured data delivery and fire forecast 13. An Energy Efficient Routing for Ambulance towards blockchain based smart disaster relief 14. Conclusion (Editors)
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Evaluates the latest key concepts, approaches, and applications of existing blockchain-based IoT frameworks for 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
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Produktdetaljer

ISBN
9780443134722
Publisert
2024-11-01
Utgiver
Vendor
Academic Press Inc
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
250

Om bidragsyterne

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.