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Integrating Blockchain with Artificial Intelligence to Secure IoT Networks: Future Trends

Author

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  • Shatha Alharbi

    (Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Afraa Attiah

    (Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Daniyal Alghazzawi

    (Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Recently, the Internet of Things (IoT) has gained tremendous popularity in several realms such as smart cities, healthcare, industrial automation, etc. IoT networks are increasing rapidly, containing heterogeneous devices that offer easy and user-friendly services via the internet. With the big shift to IoT technology, the security of IoT networks has become a primary concern, especially with the lack of intrinsic security mechanisms regarding the limited capabilities of IoT devices. Therefore, many studies have been interested in enhancing the security of IoT networks. IoT networks need a scalable, decentralized, and adaptive defense system. Although the area of development provides advanced security solutions using AI and Blockchain, there is no systematic and comprehensive study talking about the convergence between AI and Blockchain to secure IoT networks. In this paper, we focus on reviewing and comparing recent studies that have been proposed for detecting cybersecurity attacks in IoT environments. This paper address three research questions and highlights the research gaps and future directions. This paper aims to increase the knowledge base for enhancing IoT security, recommend future research, and suggest directions for future research.

Suggested Citation

  • Shatha Alharbi & Afraa Attiah & Daniyal Alghazzawi, 2022. "Integrating Blockchain with Artificial Intelligence to Secure IoT Networks: Future Trends," Sustainability, MDPI, vol. 14(23), pages 1-27, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16002-:d:989201
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    References listed on IDEAS

    as
    1. Georgios Spathoulas & Nikolaos Giachoudis & Georgios-Paraskevas Damiris & Georgios Theodoridis, 2019. "Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets," Future Internet, MDPI, vol. 11(11), pages 1-24, October.
    2. Kowalski, Michał & Lee, Zach W.Y. & Chan, Tommy K.H., 2021. "Blockchain technology and trust relationships in trade finance," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Ruchi Vishwakarma & Ankit Kumar Jain, 2020. "A survey of DDoS attacking techniques and defence mechanisms in the IoT network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(1), pages 3-25, January.
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