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◆ ACM Computing Surveys2026-05-01· State (computer science)

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. W. Brooks, Monowar Hasan, Andrea Saracino, Mohammad Hamad, Sebastian Steinhorst

原始摘要(英文原文)· Original 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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Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives — 科研速览 Science Skim