Performance analysis of behavior-based solutions in vehicular networks

Transportation systems require communication network for achieving safe traffic and efficient transportation. As a result, vehicles become exposed to either internal or external attacks. Various behavior-based methods were proposed to protect vehicular networks against internal attacks. In this paper, we propose two behavior-based models that apply different methods which are weighted-sum and fuzzy logic. We conduct various experiments using different communication and behavioral scenarios. In addition, we analyse the results to measure the performance of both methods. Simulation results show that weighted-sum method outperforms fuzzy logic in vehicular networks. A comparison result presents that the detection rate improves for weighted-sum method with almost all scenarios. Indeed, the detection rate for scenario B.1, when there is no direct communication with malicious node, is improved by at least 27%.