Performance Evaluation in Misbehaviour Detection Techniques for DoS Attacks in VANETs

Abstract

Vehicular Ad Hoc Network (VANET) provides communication between vehicles and roadside infrastructures to improve safety, traffic efficiency, and comfort. VANET requires the implementation of precise security mechanisms to guarantee safety because attackers are always searching for methods to exploit network vulnerabilities. A common and harmful threat is the Denial of Service (DoS) attack. DOS is performed by malicious nodes to block vehicle communications and to interrupt network availability. In this work, we evaluate three different misbehavior detection mechanisms: threshold, behavioral, and cooperative. These methods are compared using the F2MD simulation environment with four DoS attacks: Normal, Random, Sybil, and DDoS. The performance of the misbehavior detection mechanisms is evaluated by accuracy, recall, and precision. Our comparative results demonstrate that the threshold-based method outperforms the other two in the proposed simulation scenario.