“Evidence based calculation of atomic trust opinions in the context of subjective logic,” Project or Bachelor or Master's thesis, A. Hermann (Supervisor), F. Kargl (Examiner), Inst. of Distr. Sys., Ulm Univ., 2023 – Open
In the context of Cooperative, connected and automated mobility, a vehicle relies on data from multiple sources to drive autonomously. On the one hand, it relies on data provided by an external entity, such as a road side unit or another vehicle, which is received over the V2X network. On the other hand, it relies on data provided by internal entities within the vehicle, such as a sensor installed in the vehicle or an ECU in the vehicle. Since the autonomous driving functionality is very safety critical, it is important for the function to evaluate the trustworthiness of the data provided by the internal and external entities. In this project/thesis, several entities in the context of an autonomous vehicle are selected. Examples of internal entities could be a GNSS sensor or a camera. Examples of external entities could be another vehicle or a road side unit. Based on the selected entities, trust sources are determined to provide evidence of whether the entity is trustworhty or not. Such trust sources could be security controls such as an IDS or Secure Boot. Finally, an approach is created that determines a trust opinion about the selected entitiy based on the selected trust sources in the context of subjective logic. This calcualated trust opinion describes the trustworthiness of this entity.