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SUDV: Malicious fog node management framework for software update dissemination in connected vehicles

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Abstract

Modern vehicles are developed with increasing levels of automation and connectivity. To improve the driving experience, the software requires frequent alterations adding new functionality and/or fixing software-related issues. In a typical connected vehicle ecosystem, over-the-air (OTA) updates provide a platform for safely distributing new software to connected vehicles. Often the cloud is used for OTA updates but with significant communication overhead. Here, fog computing paradigm involves strategically placed and distributed fog nodes with minimal capabilities near vehicles. It potentially provides a reliable and sustainable approach to push OTA updates for connected vehicles. In this work, we adopt a collaborative framework with congestion control to push OTA updates across the multi-level vehicular network. Moreover, to keep at bay the heightened risk of cyber threats in fog-computing paradigm, we build implicit trust and implement explicit verification across the fog consortium to detect compromised fog nodes. The effectiveness of the framework is evaluated against baseline scheme in terms of update coverage, cost per update, attempt efficiency and update time. The results demonstrate improved update coverage by 4%, reduced cost per update by 5%, which in turn contributes to an improved update attempt efficiency up to 2% across the connected vehicular network.

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Funding

The authors did not receive support from any organization for the submitted work.

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Author notes

  1. Asad Waqar Malik

    Present address: National University of Sciences and Technology (NUST), Islamabad, Pakistan

Authors and Affiliations

  1. National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Nadia Kalsoom, Anis U. Rahman, Muhammad Ahsan & Arsalan Ahmad

  2. North Dakota State University, Fargo, ND, USA

    Asad Waqar Malik

Authors
  1. Nadia Kalsoom
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  2. Asad Waqar Malik
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  3. Anis U. Rahman
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  4. Muhammad Ahsan
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Contributions

Authors [NK, AWM and AUR] contributed to the study conception, design, material preparation and analysis. System model is prepared by MA, AA and AUR. The first draft of the manuscript was written by NK, and AWM, later improved by AUR, and AA. All authors read and approved the final manuscript.

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Correspondence to Asad Waqar Malik.

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Kalsoom, N., Malik, A.W., Rahman, A.U. et al. SUDV: Malicious fog node management framework for software update dissemination in connected vehicles. J Supercomput 79, 4534–4555 (2023). https://doi.org/10.1007/s11227-022-04829-1

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  • DOI: https://doi.org/10.1007/s11227-022-04829-1

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