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The Role of Blockchain in Disaster Management
- 1st Edition - October 23, 2024
- Editors: Ayan Kumar Das, Ditipriya Sinha, Siddhartha Bhattacharyya, Debashis De
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 4 7 2 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 4 7 3 - 9
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… Read more
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Request a sales quoteThe 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.
- 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
Researchers, graduate students, and professionals in the fields of computer science, software development, and disaster management
- The Role of Blockchain in Disaster Management
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Contributors
- Editors biography
- Preface
- Chapter 1 Introduction
- Abstract
- Keywords
- 1 Introduction
- 1.1 Types of disasters
- 1.2 Disaster management
- 1.3 Blockchain
- 1.4 Smart city
- 2 Challenges and role of disaster management
- 2.1 Challenges and shared objectives associated with disaster management
- 2.2 Role of disaster management
- 2.3 After effects of disaster management
- 2.4 Positive and negative effects of disaster management in nature
- 3 Role of BC in disaster management
- 3.1 Effects of disaster management using BC
- 4 Methodology
- 4.1 Research and model design
- 4.2 Disaster supply chain model
- 4.3 BC-enabled DVFS-based model
- 4.4 Coding and mining
- 4.5 Agent-based modeling
- 5 Overcoming limitations and future research directions
- 5.1 Research gaps and future directions
- 5.2 Future research paths
- 5.3 Technical challenges in BC application
- 5.4 Limitations of BC technology
- 5.5 Humanitarian sector challenges
- 5.6 Limitations
- 6 Conclusion
- References
- Chapter 2 Blockchain-based model for disaster relief supply chain management
- Abstract
- Keywords
- 1 Introduction
- 2 Problem statement
- 3 Purpose of study
- 4 Research contribution
- 5 Literature review
- 6 Proposed model
- 6.1 Disaster supply chain model
- 6.2 DFS model
- 7 Simulation
- 7.1 Modeling
- 8 Results and discussions
- 9 Conclusion
- 10 Limitations and future scope
- References
- Chapter 3 Blockchain of things for smart disaster management
- Abstract
- Keywords
- 1 Introduction
- 2 Blockchain technology
- 3 Blockchain as a trustworthy system: Proposed system
- 3.1 Model architecture
- 4 Blockchain as disaster management
- 5 Opportunities and challenges
- 6 Conclusion
- References
- Chapter 4 Emergency response to natural disaster victim identification: Blockchain to the rescue
- Abstract
- Keywords
- 1 Introduction
- 2 How blockchain works in personal identification
- 3 Difficulties faced by using traditional identity management systems
- 4 Advantages of using blockchain in personal identification in natural disaster
- 5 Major components of victim identification using blockchain
- 6 Uses of stored data
- 7 Persons handling the information
- 8 Benefits of using blockchain in victim identification
- 9 Challenges faced by blockchain technology in natural disaster victim identification
- 10 Hyperledger fabric framework: An example of a blockchain identity management system
- 11 Cases solved with blockchain
- 12 Conclusion
- References
- Chapter 5 Application of blockchain technology in disaster risk management
- Abstract
- Keywords
- 1 Introduction
- 2 Disaster management
- 2.1 Overview
- 2.2 Types of disasters
- 3 Disaster management life cycle
- 3.1 Dimensions of disaster management
- 3.2 Disaster management at various phases
- 4 Engaging blockchain for traditional disaster management
- 5 Blockchain technology—Its applications in disaster management
- 5.1 Blockchain technology—Basic concept
- 5.2 Evolution of blockchain from financial transactions to business applications
- 5.3 Minimizing disaster risks using blockchain
- 5.4 Core requirements for adopting blockchain in disaster management
- 5.5 Designing blockchain architecture for disaster management
- 6 Future of blockchain technology
- 7 Conclusion
- References
- Chapter 6 Intelligent blockchain technology for health disaster management systems: Lessons from COVID-19 and way forward
- Abstract
- Keywords
- 1 Introduction
- 2 COVID-19—A man-made disaster
- 3 COVID-19 and disaster management
- 4 Blockchain technology and its characteristics
- 4.1 Features of blockchain technology
- 4.2 Blockchain applications in combating COVID-19 challenges
- 4.3 Implementation of blockchain application
- 5 Blockchain technology to combating COVID-19—Issues and challenges
- 6 Artificial intelligence to aid blockchain in solving its limitations
- 7 Integration of blockchain technology with AI—A solution to combat COVID-19
- 7.1 Examples of some of the AI interventions in blockchain and COVID control
- 7.2 Limitations of using AI with blockchain
- 8 Conclusion and suggestions
- References
- Chapter 7 A blockchain leveraged postdisaster relief allocation system over an incentive-based DTN
- Abstract
- Keywords
- 1 Introduction
- 1.1 Motivation
- 1.2 Contributions
- 2 System model
- 3 Blockchain leveraged postdisaster relief allocation system over an incentive-based DTN
- 3.1 Incentivizing scheme for improving node cooperation in DTN
- 3.2 Relief allocation system for an incentive-based DTN
- 4 Conclusion and future research directions
- References
- Chapter 8 Blockchain-based healthcare assistance model in distributed disaster management systems
- Abstract
- Keywords
- 1 Introduction
- 2 Literature review
- 3 Proposed methodology
- 3.1 Pre-disaster module
- 3.2 Disaster response module
- 3.3 Post-disaster recovery module
- 3.4 Smart contract design for health disaster management
- 4 Results and discussions
- 4.1 Performance analysis of the average delay in execution time of the proposed model
- 4.2 Performance analysis of proposed validator-based consensus process time
- 5 Conclusion and future scope
- References
- Chapter 9 Blockchain-based supply chain management for smart disaster relief
- Abstract
- Keywords
- 1 Introduction
- 2 Background
- 3 Blockchain technology
- 3.1 Characteristics of blockchain technology
- 3.2 Advantages of blockchain technology
- 3.3 Blockchain IoT frameworks
- 4 Supply chain management
- 4.1 SCM process
- 4.2 Types of supply chain management
- 4.3 Frameworks for supply chain management
- 5 Existing status of blockchain-based SCM in disaster management
- 5.1 Existing SCM systems for DR
- 5.2 Shortcomings of the SCM systems
- 6 Solutions and recommendations
- 6.1 Blockchain technology for improving SCM
- 6.2 Recommendations
- 7 Conclusions
- 8 Future scopes
- References
- Chapter 10 iDroneChain: Intelligent EdgeDrone and blockchain-based secured data delivery for forest fire surveillance
- Abstract
- Keywords
- 1 Introduction
- 1.1 Motivation
- 2 Drone-based forest fire surveillance systems
- 2.1 Research on blockchain technology-based UAV systems
- 2.2 Investigations on UAVs for forest fire monitoring and management
- 3 Conclusion
- References
- Chapter 11 Blockchain-based secured immunization technique towards health disaster management
- Abstract
- Keywords
- 1 Introduction
- 2 Related work
- 3 Proposed work
- 3.1 Hash
- 3.2 Smart contracts
- 4 Results and discussion
- 5 Conclusion
- References
- Chapter 12 Concluding remarks
- Abstract
- Keywords
- References
- Index
- No. of pages: 266
- Language: English
- Edition: 1
- Published: October 23, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443134722
- eBook ISBN: 9780443134739
AD
Ayan Kumar Das
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.
Affiliations and expertise
Assistant Professor, Birla Institute of Technology, Mesra, IndiaDS
Ditipriya Sinha
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.
Affiliations and expertise
Assistant Professor, National Institute of Technology, Patna, IndiaSB
Siddhartha Bhattacharyya
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.
Affiliations and expertise
VSB Technical University of Ostrava, Czech RepublicDD
Debashis De
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.
Affiliations and expertise
Professor, Dept. of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, India