Enhanced Position Verification for VANETs using Subjective Logic
This work addresses the problem of ensuring message correctness for secure and dependable vehicular networks, but it is incremental as it builds on prior mechanisms.
The paper tackles the challenge of verifying position information in vehicular ad-hoc networks by enhancing two existing position verification mechanisms and fusing their results using subjective logic, with simulations showing it validates position information as effectively as existing approaches without being tailored to this specific use case.
The integrity of messages in vehicular ad-hoc networks has been extensively studied by the research community, resulting in the IEEE~1609.2 standard, which provides typical integrity guarantees. However, the correctness of message contents is still one of the main challenges of applying dependable and secure vehicular ad-hoc networks. One important use case is the validity of position information contained in messages: position verification mechanisms have been proposed in the literature to provide this functionality. A more general approach to validate such information is by applying misbehavior detection mechanisms. In this paper, we consider misbehavior detection by enhancing two position verification mechanisms and fusing their results in a generalized framework using subjective logic. We conduct extensive simulations using VEINS to study the impact of traffic density, as well as several types of attackers and fractions of attackers on our mechanisms. The obtained results show the proposed framework can validate position information as effectively as existing approaches in the literature, without tailoring the framework specifically for this use case.