Black hole Attack Prevention in VANET

Abstract

The past decade has witnessed the emergence of Vehicular Ad-hoc Networks (VANETs), from the well-known Mobile Ad Hoc Networks (MANETs) in wireless communications. VANETs are self-organizing networks established among vehicles equipped with communication facilities. In VANETs vehicles are equipped with On Board Unit (OBU) through which they are capable of organizing themselves, by discovering their neighbor vehicles and capable to communicate with Infrastructure nodes equipped with Road Side Unit (RSU) for finding optimal path, Service based Information as well as other sensible Information for safe Transportation over the wireless medium. Recently, VANETs have been getting greater attention as more applications are depending on them. Researchers have tried to propose various Protocols, Approaches and methodologies that will improve the Quality, Efficiency, Authenticity and Integrity of different services of VANETs. Many of the applications require a high level of security. Thus, the main challenge is to protect VANETs from different security attacks. VANETs use the open wireless medium to communicate which makes it easy for an attacker to impose his attacks by Manipulating, Sniffing, and blocking the different packets. In VANETs all the nodes can act as routers for the data packets and there is no clear line of defence where it is possible to place a firewall. The main concern is how to provide best security in VANET without any negotiating with performance & reliability.The objective of this work is to check feasibility of using infrastructure based vehicular communication for detecting and preventing Blackhole Attacks. In this paper we proposed three different approaches for Blackhole attack prevention. We analyze performance of the proposed approaches for different scenario by generating heterogeneous traffic environment. With the proposed approaches we get the reduction in Packet Loss of up to 79.6971%.