A Comparative Survey on RSU Misbehaviour Detection in VANET

Over the years, the automotive industry has grown, and as new technologies have evolved, Intelligent Transportation Systems (ITS) have formed to serve the advancing mobility solutions for safety and traffic efficiency. Vehicular Ad Hoc Networks (VANETs) allow the vehicles to share their telematics information to create awareness, especially in non-line-of-sight conditions, which significantly improves road safety. Road Side Units (RSUs) are important for controlling network traffic and sharing data with network infrastructure and nearby vehicles. RSUs guarantee dependable and strong communication amongst different VANET components. Additionally, they are prone to actions that could jeopardize the integrity of the network as a whole. It becomes essential to identify misbehaviour because of how important the RSUs are. Thus, in this work, we examine various RSU misbehaviour detection strategies and investigate various existing trust models in VANETs. We compare the trust models to see which best identifies misbehaviour in RSUs.