An Approach to Detect Sybil Attack in VANET by Neighbor Processing Algorithm

Abstract

In the recent years, researchers are focusing on the Vehicular Adhoc Network (VANET) field due to the lifesaving factor. VANET is one of the important application in the Mobile Adhoc Network (MANET).VANETs are defined as the set of the vehicles or the Road Side Unit(RSU) that communicate through the Wireless Local Area Network (WLAN) .VANET is an application of Intelligent Transportation System (ITS) that aims towards the safety and comfort of drivers and passengers . It is a network where vehicles communicate with each other to find the distance and finding the obstacles in the road. As it is a open network everyone can use it, so security and privacy is the major issue in the VANET. Especially in the authentication process, the vehicles needed to be authenticated before accessing or sending messages to the network. There are many attacks in the VANET application one of the major attack is the Sybil attack. Sybil attack is that attacker is creating multiple identities or making an illusion of the traffic congestion by the malicious nodes .This paper presents about the VANET overview, Sybil attack detection and proposes an approach neighborhood algorithm that is used to find the malicious nodes in Sybil attack.