Efficient Privacy and Revocation in VANETs by Measuring the Level of Trustiness.

In the near future, Vehicular Ad-Hoc-Networks are going to change the way people drive and can help to improve the traffic management and roadside safety. Unfortunately, a VANET faced a set of challenges in security, privacy and detection of misbehaving nodes. In this paper, we propose a new protocol which we named Symmetric Key Based Privacy System (SKBPS) for VANET system. The system consists of three units: The Certificate Authority (CA), The Road Side Unit (RSU) and node units. CA is a trusted party to take charge of the network’s security and privacy issues. RSU acts as the key distributor for the group of vehicles in its region, and judge whether a vehicle is a trust node or not. Nodes are ordinary vehicles on the road. CA is able to estimate whether a vehicle is a legitimate node or not. SKBPS for VANET presents a new technique which facilitates the revocation of malicious vehicles and guarantees efficient privacy. SKBPS found solutions for most types of attacks in VANET like: traffic analysis attack, malicious vehicle attack and Sybil attack. The proposed protocol is analyzed using both BAN logic and Strand Spaces model. The analysis shows that the proposed protocol achieves its goals without bugs or redundancies, and it isn’t vulnerable to data desynchronization.