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Blockchain Technology for IoT Applications

  • Book
  • © 2021

Overview

Editors:
  1. Seok-Won Lee

    1. Department of Software and Computer Engineering, Department of Artificial Intelligence, Ajou University, Suwon, Korea (Republic of)

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  2. Irish Singh

    1. Department of Computer Engineering, Ajou University, Suwon, Korea (Republic of)

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    You can also search for this editor in PubMed   Google Scholar

  3. Masoud Mohammadian

    1. Department of Information System, University of Canberra, Canberra, Australia

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  • Provides an overview of secure, distributed, decentralized blockchain technology for IoT, and applications
  • Includes diverse technologies such as cyber-physical systems, health care, smart homes, and Machine-to-Machine interaction
  • Presents contributions from both academia and industry experts

Part of the book series: Blockchain Technologies (BT)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
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  2. Requirement Engineering and Its Role in a Blockchain-Enabled Internet of Things

    • Irish Singh, Seok-Won Lee
    Pages 1-15

  3. AutomataDAO: A Blockchain-Based Data Marketplace for Interactive Robot and IoT Data Exchanges Using Ethermint and State Channels

    • Irvin Steve Cardenas, John Brian May, Jong-Hoon Kim
    Pages 17-38

  4. Hyperledger Architecture for Internet of Things and Supply Chain Management Services

    • Rajnikant Kushwaha, Dhananjay Singh
    Pages 39-63

  5. Can We Predict Tropical Storms? Evidence from Artificial Intelligence

    • Tim X. Summers, Seth H. Huang, Paul Moon Sub Choi
    Pages 65-84

  6. A Critical Review on Using Blockchain Technology in Education Domain

    • G. Sudha Sadasivam
    Pages 85-117

  7. A Decentralized and Autonomous Model to Administer University Examinations

    • Yogesh N. Patil, Arvind W. Kiwelekar, Laxman D. Netak, Shankar B. Deosarkar
    Pages 119-134

  8. FaceHub: Facial Recognition Data Management in Blockchain

    • Akobir Ismatov, Vanessa Garza Enriquez, Madhusudan Singh
    Pages 135-153

  9. Incorporating Transaction Lifecycle Information in Blockchain Process Discovery

    • Natanael Yabes Wirawan, Bernardo Nugroho Yahya, Hyerim Bae
    Pages 155-172

  10. BIoT-Based Smart Agriculture: Food and Crops Efficiency and Improvement in Supply Chain Cycle

    • Urooj Waheed, Yusra Mansoor, Muhammad Ahsan Khan
    Pages 173-189

  11. Hitching Medical IoT Devices to Blockchain for Personal Health Information Management

    • Pravin Pawar, Thierry Oscar Edoh, Madhusudan Singh, Neeraj Parolia
    Pages 191-205
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Keywords

About this book

This book explores recent advances in the Internet of things (IoT) via advanced technologies and provides an overview of most aspects which are relevant for advance secure, distributed, decentralized blockchain technology in the Internet of things, their applications, and industry IoT. The book provides an in-depth analysis of the step-by-step evolution of IoT to create a change by enhancing the productivity of industries. It introduces how connected things, data, and their communication (data sharing) environment build a transparent, reliable, secure environment for people, processes, systems, and services with the help of blockchain technology.

Editors and Affiliations

  • Department of Software and Computer Engineering, Department of Artificial Intelligence, Ajou University, Suwon, Korea (Republic of)

    Seok-Won Lee

  • Department of Computer Engineering, Ajou University, Suwon, Korea (Republic of)

    Irish Singh

  • Department of Information System, University of Canberra, Canberra, Australia

    Masoud Mohammadian

About the editors

Dr. Seok-Won Lee is currently a Full Professor and Chair of Depts. of Software & Computer Engineering and Artificial Intelligence, and Head of Graduate School of Software at Ajou University, South Korea since 2012. He has been a Professor of Information Systems and Cyber Security at the University of Texas at San Antonio, Visiting Professor at the University of Nebraska Lincoln and a Professor of Software Engineering and a Director of Knowledge-intensive Software Engineering (NiSE) research group at the University of North Carolina at Charlotte, USA. Prior to joining to the UNC Charlotte, he was affiliated with Science Applications International Corporation (SAIC) and IBM T.J. Watson Research Center as senior research scientists. He received his M.Sc. in Computer Science (with specialization in Artificial Intelligence) from University of Pittsburgh, and Ph.D. in Software Engineering from George Mason University. His areas of specialization include software engineering with specific expertise in ontological requirements engineering and domain modeling, and knowledge engineering with specific expertise in knowledge acquisition, machine learning and knowledge-based systems. He serves as chairs, organizers, editors and the program committee members for numerous top-tier journals, flagship conferences, and workshops in software engineering, requirements engineering, secure software engineering and other related areas such as information security and assurance, critical infrastructure protection, service-oriented computing, visual analytics and self-adaptive software systems. He has published more than 180 refereed articles and is a senior member of IEEE, ACM and AAAI.

Irish Singh is a PhD researcher at the Department of Computer Engineering at Ajou University, Suwon, South Korea. She completed her M.Tech. degree at the Department of Computer Science and Engineering at Birla Institute of Technology (BIT), Ranchi, and B.Tech. in Computer Science and Engineering at UP (State) Technical University, Lucknow, India. Her research interests include adaptive security, cloud computing, requirements engineering, big data, blockchain technology, and the IoT.

Dr. Masoud Mohammadian is Associate Professor at the University of Canberra, Australia. He graduated with M.S. and Ph.D. degrees from the University of Central Queensland and holds an undergraduate degree from Flinders University, Australia. He has twenty-seven years of academic experience, and he has served as a program committee member and/or Co-Chair of a large number of national and international conferences. He has received awards from the IEEE and the Austrian Ministry of Commerce, as well as several awards for his academic services in Australia. He was a scientific advisor to SolveIT Pty Ltd, and he is currently a scientific advisor to Complexica Pty Ltd. He has delivered a large number of keynote lectures at national and international conferences and has edited 24 books and conference proceedings in the area of computational intelligence and intelligent agents. He has written more than 160 refereed publications, including books, book chapters, journal articles, and conference papers. Dr. Mohammadian’s current research focuses on the application of computational intelligence techniques for learning and adaptation of intelligent agents and web-based information filtering and data mining.

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