A Reputation Management Scheme for Identifying Malicious Nodes in VANET

In vehicular ad-hoc network (VANET), vehicles exchange information on road conditions which guarantees safety. However, there exists malicious nodes which interfere the communication between vehicles. Thus, it is vital to identify malicious vehicles in VANET. Reputation-based schemes are one of the most promising schemes to identify malicious nodes in time. However, existing methods can only identify malicious nodes of a specific attack. Additionally, the efficiency and effectiveness of existing work in solving advanced attacks are unsatisfactory. In this paper, we propose a scheme to identify malicious nodes in VANET based on collaborative filtration. Distinguished from the existing solutions, we consider a variety of attacks in VANET, instead of a specific attack. In addition, our scheme updates the reputation of nodes in time according to the result of each communication, which brings better efficiency and effectiveness. The superiority of our proposed scheme has been demonstrated through simulation experiments.