Detecting the Incorrect Safety Message in VANETS

There always are some vehicles (nodes) to demonstrate various misdemeanours, such as, modifying data, transmitting fraudulent data about road congestion or vehicle, due to the distinct characteristics of Vehicular Ad-Hoc Networks (VANETs). Those malicious data from safety message have the potential to damage in VANETs. Therefore, the received safety message should be verified before the message is accepted and relayed. In this study, we address the challenge by detecting incorrect safety message. We propose a novel approach to deal with evaluating the trustworthiness of safety message reported by neighbor vehicles by detecting the consistency between the actions and the words (safety message). If it is inconsistent, the safety message is recognized as incorrect message; otherwise, the message is accepted and relayed. Moreover, the safety precaution is considered to protect itself and minimize the losses. Simulation results show that our proposed method can detect effectively the incorrect safety message. The detection ration is about 90% when the number of malicious vehicles is small.