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

ACM Computing Surveys 2026 Open access

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Authors: Marco De Vincenzi, Mert D. Pesé, Chiara Bodei, Ilaria Matteucci, Richard R. W. Brooks, Monowar Hasan, Andrea Saracino, Mohammad Hamad, Sebastian Steinhorst
DOI: 10.1145/3814955
Cited by: 6
References: 164

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).

Fields of Study & Subjects

Safety Systems Engineering in Autonomy Vehicular Ad Hoc Networks (VANETs) Security and Verification in Computing

Publication details

Journal / source
ACM Computing Surveys
Publisher
Association for Computing Machinery (ACM)
Volume
58
Issue
13
Pages
1–36
Publication date
1 May 2026
Language
EN