Research Area:  Vehicular Ad Hoc Networks
Vehicular Adhoc Network (VANET) constitutes a basis for the Intelligent Transportation Systems. VANET can be extensively used in safety and non-safety applications. DSRC Safety purposes are essential usages in VANET, have the basic objective of improving and enhancing safety through notifying drivers in hazards or impending accidents. The dynamic changes in topology are frequent in VANET, resulting in several jamming attacks. Hybrid jamming attacks involve the combination of the features of constant, deceptive and random jamming attacks. In this research work a novel Index Based Voting Approach (IBVA) has been proposed to avoid hybrid jamming as an integral component of devoted short range communication safety applications in VANET. The aim of this work focuses on hybrid jamming detection strategy in terms of node centric misbehaviour detection. The authenticities of vehicular nodes were determined by a new Recursive Candidate Elimination Algorithm (RCEA). Experimental results show that the time required to make decisions 0.3 s, which is reduced decision time compared to previous algorithm reported in the literature. The proposed IBVA algorithm in VANET improves the reliability in terms of malicious nodes detection and reducing the decision which in turn improves the network performance.
Author(s) Name:  G. B. Santhi & D. Sheela
Journal name:  Peer-to-Peer Networking and Applications
Publisher name:  Springer
Volume Information:  volume 13, pages 2145–2154 (2020)
Paper Link:   https://link.springer.com/article/10.1007/s12083-019-00828-x