Drivers desire enhanced personal data protection while also utilizing in-vehicle applications that often require data sharing with service providers. In many cases drivers have to decide whether to share all personal data or to not use the service at all. This lack of granular control over data sharing presents a significant issue, as it fails to balance users’ privacy concerns with their desire for personalized and connected driving experiences. Privacy-Enhancing Technologies (PETs) can address this issue by modifying and anonymizing source data, removing sensitive information while preserving the data usefulness for intended purposes. However, selecting and configuring appropriate PETs can be challenging for end-users, because the technical complexities involved in understanding different PET functionalities and tailoring them to specific data sharing scenarios often exceed the average user’s technological expertise. This barrier highlights the need for a user-friendly system that simplifies the process of discovering and configuring PETs, empowering drivers to make informed decisions about their data privacy without requiring specialized technical knowledge.

In this thesis, we introduce PILOT, a novel framework designed to facilitate the selection and configuration of PETs. Through an intuitive interface, users can select PETs, adjust parameters, and preview the applied data transformations in original, perturbed, or analyzed form, empowering users to make informed decisions about their data privacy. This approach lowers the barrier to entry for utilizing PETs, enabling a wider range of individuals and organizations to benefit from enhanced privacy protection. The employed modular design enables the seamless incorporation of new PETs and data visualizations. The modular architecture, coupled with robust development tools, ensures PILOT remains adaptable and relevant as the field of data privacy evolves. We additionally implemented a proof-of-concept demonstration, showcasing PILOT’s usability and interaction through a sample scenario. This practical example shows how our system simplifies PET configuration, enabling users to select and configure a PET, while understanding the resulting impact on their data.