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

Fuente: arXiv
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Hauptverfasser: De Vincenzi, Marco, Pesé, Mert D., Bodei, Chiara, Matteucci, Ilaria, Brooks, Richard R., Hasan, Monowar, Saracino, Andrea, Hamad, Mohammad, Steinhorst, Sebastian
Format: Preprint
Veröffentlicht: 2024
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author De Vincenzi, Marco
Pesé, Mert D.
Bodei, Chiara
Matteucci, Ilaria
Brooks, Richard R.
Hasan, Monowar
Saracino, Andrea
Hamad, Mohammad
Steinhorst, Sebastian
author_facet De Vincenzi, Marco
Pesé, Mert D.
Bodei, Chiara
Matteucci, Ilaria
Brooks, Richard R.
Hasan, Monowar
Saracino, Andrea
Hamad, Mohammad
Steinhorst, Sebastian
contents 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).
format Preprint
id arxiv_https___arxiv_org_abs_2411_10612
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives
De Vincenzi, Marco
Pesé, Mert D.
Bodei, Chiara
Matteucci, Ilaria
Brooks, Richard R.
Hasan, Monowar
Saracino, Andrea
Hamad, Mohammad
Steinhorst, Sebastian
Cryptography and Security
Operating Systems
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).
title Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives
topic Cryptography and Security
Operating Systems
url https://arxiv.org/abs/2411.10612