AUTOPSY: A Framework for Tackling Privacy Challenges in the Automotive Industry

• URL: http://arxiv.org/abs/2507.16788v1
• Date: Tue, 22 Jul 2025 17:32:20 GMT
• Title: AUTOPSY: A Framework for Tackling Privacy Challenges in the Automotive Industry
• Authors: Sebastian Pape, Anis Bkakria, Maurice Heymann, Badreddine Chah, Abdeljalil Abbas-Turki, Sarah Syed-Winkler, Matthias Hiller, Reda Yaich,
• Abstract summary: AUTOPSY project was to support privacy engineering process in automotive domain.<n>This paper presents results of project aiming at enhancing privacy technologies (PETs)<n> Furthermore, we built a demonstrator for data-based services to evaluate the architectural location framework.
• Score: 1.306941069040504
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: With the General Data Protection Regulation (GDPR) in place, all domains have to ensure compliance with privacy legislation. However, compliance does not necessarily result in a privacy-friendly system as for example getting users' consent to process their data does not improve the privacy-friendliness of the system. Therefore, the goal of the AUTOPSY project was to support the privacy engineering process in the automotive domain by providing several building blocks which technically improve the privacy-friendliness of modern, i.e., connected and (partially) automated vehicles. This paper presents the results of the AUTOPSY project: a system model to identify relevant entities and locations to apply privacy enhancing technologies (PETs); the privacy manager aiming at more control of the data flow from the vehicle, a PET selection approach based on GDPR principles, and an architectural framework for automotive privacy. Furthermore, we built a demonstrator for location-based services to evaluate the architectural framework.

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