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arXiv · 2411.10612

Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives

Marco De Vincenzi·Mert D. Pesé·Chiara Bodei·Ilaria Matteucci·Richard R. Brooks·Monowar Hasan·Andrea Saracino·Mohammad Hamad·Sebastian Steinhorst
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Abstract

The growing reliance on software in road vehicles has led to the emergence of Software-Defined Vehicles (SDV). This work analyzes SDV security and privacy through a systematic literature review complemented by an industry questionnaire across the automotive supply chain. The analysis is structured as four research questions and results in a security framework serving as a roadmap for SDV protection. The findings emphasize addressing mixed-criticality architectural challenges, deploying layered security mechanisms, and integrating privacy-preserving techniques. The results highlight the need to harmonize in-vehicle and cloud-based defenses to strengthen cybersecurity and V2X resilience in Intelligent Transportation Systems (ITS).

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Marco De Vincenzi, Mert D. Pesé, Chiara Bodei, Ilaria Matteucci, Richard R. Brooks, Monowar Hasan, Andrea Saracino, Mohammad Hamad, Sebastian Steinhorst. 2024-11-15. Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives. https://doi.org/10.1145/3814955

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