T-BCIDS: Trust-Based Collaborative Intrusion Detection System for VANET

With the development of an intelligent transport system (ITS), security becomes an increasingly important issue. The Vehicle ad-hoc network (VANET) security researchers have shown enormous development on the field. Among all, the intrusion detection system (IDS) is creating the highest attraction. Additionally, a way of multidisciplinary researches has proved the importance of IDS over VANET. In this paper, a trust-based collaborative intrusion detection system (T-BICDS) is proposed. In which, each car maintains a score table of other cars in the network to identify their previous pattern of network behavior. Additionally, the vehicles gather real-time network traffic can analysis based on local IDS agent, which is equipped with k-nearest neighbors kNN nonlinear classifier. Besides, a vehicle can collaborate with other neighboring vehicles and update the score table to identify intruders in real-time as well as use the table for future prediction. Finally, we have concluded with potential future works out of this effort.