Detection and Prevention of Black Hole Attacks in Vehicular Ad Hoc Networks
Lakshmi.S1, Mary Anita E A2, Jenefa J3
1Lakshmi.S, Research Scholar, AMET University, Chennai (Tamil Nadu), India.
2Mary Anita E A, Professor, CSE, S.A. Engineering College, Chennai (Tamil Nadu), India.
3Jenefa J, Research Scholar, Anna University, Chennai (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1253-1257 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6364058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Vehicular networks are prone to various security attacks because of its dynamic topology. One such attack is the black hole attack which advertises itself to source vehicle as the shortest path to the destination and drops the received packets. An efficient solution to detect black hole attackers in the vehicular network is proposed in this paper. It detects as well as broadcast information about the attackers to all other vehicles through RSUs. Thereby data packets will not be transmitted in the routes with attackers, and it will be isolated from the network by which the network will be prevented from the black hole attack. Both simple as well as collaborative attackers are simulated, and the performance of the proposed scheme is compared with that of the other related schemes. Simulation results show that the proposed scheme has better performance in terms of PDR and throughput with acceptable delay.
Keyword: AODV, Black Hole Attack, Hash Function, Security, VANET.
Scope of the Article: Foundations of Communication Networks.