Reputation-based trust model in Vehicular Ad Hoc Networks

Vehicular Ad Hoc Networks (VANETs) are received more and more researchers' attention with their promising functions in road safety by exchanging real-time warning messages through vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. However, an inaccurate traffic warning message will impact drivers' decisions, misguide drivers' behavior, and even invoke serious car accidents. In this paper, we proposed an event-based reputation model to filter bogus warning messages. Our solution is classifying all vehicles encounter the same traffic event different roles. A dynamic role-dependent reputation evaluation mechanism is presented to determine whether an incoming traffic message is significant and trustworthy to the driver. The simulation results show that our proposed system can effectively prevent false messages spread on VANET environments.