Data verification and misbehavior detection in vehicular Ad-hoc networks

Abstract

Vehicle Ad hoc Network (VANET) is an emerging and promising technology for the Intelligent Transportation System (ITS). VANET can help to increase safety and traffic efficiency in flexible and feasible way. However, disseminating incorrect information in VANET has wide range of implications effecting drivers’ behaviors and causing serious, and may be catastrophic, results. Misbehaving attackers can create traffic illusion to disturb VANET operations as well as the potential deployment of safety and traffic efficiency applications. In this paper, a holistic view of the existing misbehavior detection approaches for countermeasures against spreading malicious data in VANET is studied. In addition, the importance and the challenges faced when verifying the correctness of VANET messages are discussed. Finally, the drawbacks of existing detection and verification approaches are analyzed.