Malicious node detection in VANET Session Hijacking Attack

Abstract

Vehicular Adhoc Networks (VANETs) consists of lot of or thousands of moving nodes. Maintaining network topology and protecting every node from attack is not practical. Malicious nodes might behave like legitimate vehicle by selectively dropping the packet and it is essential to detect their malicious nature. Entire operation of the VANET gets disturbed. This paper primarily focuses on detecting the malicious node that pretends to be a legitimate vehicle throughout the session hijacking attack in VANETs and also discusses on the throughput, delay at end points, total counts of packet generated, exchanged and dropped using the Network Simulator-2 (NS2) tool and appropriate inference provided.