A Novel Approach for Fake News Detection in Vehicular Ad-Hoc Network (VANET)

In Vehicular ad-hoc network (VANET) vehicles communicate with other vehicles and with the RSU(Road Side Unit). It provides safety and other help to the drivers and the passengers of the vehicles. It is important for Intelligent Transport Systems, hence in recent years the Industrial sector and researchers give it special importance and did much research for its development. In VANET vehicle nodes exchange messages to gain information to make the travel efficient for the passengers of the vehicle. But sometimes attacker start broadcasting the fake news about the surroundings like information of fake accident of traffic jam which in turn produce a negative impact on the safety a efficiency of vehicle. In this paper, we have introduced an entropy-based approach to detect fake news. The attacker uses the spoofed IP address for broadcasting the fake news packets, so we use the entropy of the source IP address for the identification of fake news packets.