Design and Develop a Trust based Scheme for Sybil Attacker Detection and Prevention in VANETs

Intelligent transportation systems (ITS) are not complete without the incorporation of vehicular ad hoc networks (VANETs), which are a crucial component that enables vehicles and infrastructure to communicate in a secure and efficient manner. Nevertheless, VANETs are extremely vulnerable to Sybil attacks. In Sybil attack hostile nodes create multiple identities in order to disrupt network operations, influence traffic flow, or drop data packets in network. This study aims to provide a trust-based detection system to safeguard VANETs against Sybil assaults. In this paper, proposed a Direct and Indirect Trust System (DITS) approach, which calculate the direct and indirect trust of vehicles. he Sybil attacker stolen the identities of other vehicles and start to drop the traffic information in the network. The performance of proposed DITS approach is compared with CLS scheme in different vehicles density scenarios and the DITS is showing better result. The DITS approach average packets receiving is 3% more due to less delay and overhead in network. Extensive simulations have demonstrated the system's effectiveness in detecting Sybil assaults with high accuracy and low false-positive rates. The proposed DITS approach is scalable, resilient to dynamic network topologies, and contributes to enhanced security and reliability in VANET environments.