Malicious Node Detection in Vehicular Ad-hoc Network (VANET) using Enhanced Beacon Trust Management with Clustering Protocol (EBTM-CP)

Vehicular ad hoc networks (VANETs) are susceptible to information threat, wherein an aggressor aims to pose duplicate information or reprise the present information. Every vehicle in VANET broadcast short packet of data which is called as beacon packets. Beacon Packets carries the vehicle identifier, vehicle’s present geographical location and speed at specific time. The duplicated information from the aggressor appropriately synchronizes the same location creating the impression of a collision, a gridlock, or emergency braking. The utilization of the channel is degraded due to attackers and poses a severe effect on the security algorithms of VANET. This paper proposes a novel trust management scheme named Enhanced Beacon Trust Management with Clustering Protocol (EBTM-CP) for the efficient selection of cluster heads and malicious node detection. The implementation of this protocol will deliver promising output as it aims to establish the reliance between the vehicles associated with the network to enhance the vehicle safety, which results authentic, accurate and reliable message to be broadcasted inside the network. Simulation results show that the suggested EBTM-CP superior to cutting-edge technology trust model in terms of throughput, PDR, energy consumption, packet loss, end-to-end delay, and packet length, with 297.99 Kbps, 46.34%, 13%, 165.6 Mbps, 67.49%, 16.34% respectively.