“Designing and Validating a Trust Model based on Subjective Logic for the Automotive Domain,” Bachelor's thesis, Master's thesis, D. Mauksch (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2021 – Open
In this thesis, we want to investigate the design of a trust model to allow modeling of the security-related trust relationships between different entities and data items. This can be useful, for example, to determine whether to trust another vehicle or data received from that other vehicle through car-2-x communication. In the end, we aim for a reasoning framework that allows to automatically answer questions on whether to trust another entity or data in a cooperative traffic system or not. The model should be based on subjective logic, a powerful, probabilistic logic that allows reasoning under uncertainty. The resulting model should be generic enough to be used in various scenarios, like the aforementioned misbehavior detection in connected cars, evaluating trust in over-the-air software updates, or assessing trust of in-vehicle components. It can be built on earlier works in our institute that already described such a model for the specific purpose of misbehavior detection and where we aim now for a more generic model. Beyond designing the trust model, the thesis should also evaluate it by showing its applicability to the three scenarios, and by providing a proof-of-concept implementation of a reasoning framework to allow inference over that model.