IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16002-d989201.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16002/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/16002/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Musarra, Giuseppe & Kadile, Vita & Zaefarian, Ghasem & Oghazi, Pejvak & Najafi-Tavani, Zhaleh, 2022. "Emotions, culture intelligence, and mutual trust in technology business relationships," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    2. Toorajipour, Reza & Oghazi, Pejvak & Sohrabpour, Vahid & Patel, Pankaj C. & Mostaghel, Rana, 2022. "Block by block: A blockchain-based peer-to-peer business transaction for international trade," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    3. Pattanayak, Sirsha & Ramkumar, M. & Goswami, Mohit & Rana, Nripendra P., 2024. "Blockchain technology and supply chain performance: The role of trust and relational capabilities," International Journal of Production Economics, Elsevier, vol. 271(C).
    4. Radwa Ahmed Osman & Sherine Nagy Saleh & Yasmine N. M. Saleh & Mazen Nabil Elagamy, 2021. "A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas," IJERPH, MDPI, vol. 18(24), pages 1-20, December.
    5. Wang, Kaike & Zhang, Xin & Wang, Shuhong, 2024. "Blockchain technology concerns and corporate financial risk prevention—A quasi-natural experiment for Chinese listed A-share companies," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1496-1512.
    6. Pandey, Dharen Kumar & Hassan, M.Kabir & Kumari, Vineeta & Zaied, Younes Ben & Rai, Varun Kumar, 2024. "Mapping the landscape of FinTech in banking and finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 67(PA).
    7. Xue Ding & Mengling Qin & Linsen Yin & Dayong Lv & Yao Bai, 2023. "Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    8. Jalan, Akanksha & Matkovskyy, Roman & Urquhart, Andrew & Yarovaya, Larisa, 2023. "The role of interpersonal trust in cryptocurrency adoption," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    9. Elarbi Badidi, 2022. "Edge AI and Blockchain for Smart Sustainable Cities: Promise and Potential," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    10. Sohail, Muhammad Tayyab & Din, Norashidah Md, 2024. "How do digital inclusion and energy security risks affect mineral resources trade? Evidence from world-leading mineral trading countries," Resources Policy, Elsevier, vol. 89(C).
    11. Jaehun Joo & Yuming Han, 2021. "An Evidence of Distributed Trust in Blockchain-Based Sustainable Food Supply Chain," Sustainability, MDPI, vol. 13(19), pages 1-15, October.
    12. Jie Zhang & Chen Ruan, 2024. "Blockchain Technology and Corporate Performance: Empirical Evidence from Listed Companies in China," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
    13. Julio Pombo-Romero & Oliver Rúas-Barrosa, 2022. "A Blockchain-Based Financial Instrument for the Decarbonization of Irrigated Agriculture," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    14. Dong, Ciwei & Chen, Chenyi & Shi, Xiutian & Ng, Chi To, 2021. "Operations strategy for supply chain finance with asset-backed securitization: Centralization and blockchain adoption," International Journal of Production Economics, Elsevier, vol. 241(C).
    15. Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).
    16. Rijswijk, Kelly & de Vries, Jasper R. & Klerkx, Laurens & Turner, James A., 2023. "The enabling and constraining connections between trust and digitalisation in incumbent value chains," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    17. Kainat Ansar & Mansoor Ahmed & Markus Helfert & Jungsuk Kim, 2023. "Blockchain-Based Data Breach Detection: Approaches, Challenges, and Future Directions," Mathematics, MDPI, vol. 12(1), pages 1-21, December.
    18. Rakshit, Sandip & Islam, Nazrul & Mondal, Sandeep & Paul, Tripti, 2022. "Influence of blockchain technology in SME internationalization: Evidence from high-tech SMEs in India," Technovation, Elsevier, vol. 115(C).
    19. Milosav, Đorđe & Nistotskaya, Marina, 2024. "Unpacking the relevance of interpersonal trust in the blockchain era: Theory and experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    20. Patel, Ritesh & Migliavacca, Milena & Oriani, Marco E., 2022. "Blockchain in banking and finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 62(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16002-:d:989201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.