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Secure and trustworthiness IoT systems: investigations and literature review

Author

Listed:
  • Wiem Bekri

    (Digital Research Center of Sfax (CRNS)
    University of Sfax)

  • Rihab Jmal

    (Digital Research Center of Sfax (CRNS)
    University of Sfax)

  • Lamia Chaari Fourati

    (Digital Research Center of Sfax (CRNS)
    University of Sfax)

Abstract

Internet of Things (IoT) is creating a new automated environment where human interaction is limited, in which smart-physical objects obtain the power to produce, acquire, and exchange data seamlessly. Hence, diverse IoT systems concentrate on automating various tasks. These automated applications and systems are highly promising to increase user satisfaction while also increasing security-related challenges. Accordingly, Security and Trust are critical elements for users' well-being. In this paper, we investigate the security and trust properties along with the focus on various existing novel technologies (Software-defined networking, Blockchain, and Artificial Intelligence) and provide a survey on the current literature advances towards secure and trustworthy IoT. Furthermore, we present a detailed study on various security and trust issues in various IoT environments. Moreover, we discuss real-life IoT-security projects, specify research challenges, and indicate future research trends.

Suggested Citation

  • Wiem Bekri & Rihab Jmal & Lamia Chaari Fourati, 2024. "Secure and trustworthiness IoT systems: investigations and literature review," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 85(3), pages 503-538, March.
    • Handle: RePEc:spr:telsys:v:85:y:2024:i:3:d:10.1007_s11235-023-01089-z
    DOI: 10.1007/s11235-023-01089-z
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    References listed on IDEAS

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    1. Anupama Mishra & Neena Gupta & B. B. Gupta, 2021. "Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 47-62, May.
    2. Scott Thiebes & Sebastian Lins & Ali Sunyaev, 2021. "Trustworthy artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 447-464, June.
    3. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
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    1. Misbah Liaqat & Abdulwahab Ali Almazroi & Junaid Shuja & Ehzaz Mustafa, 2024. "Securing oil port logistics: A blockchain framework for efficient and trustworthy trade documents," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-17, October.

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