Secured AODV Routing Protocol for the Detection and Prevention of Black Hole Attack in Vanet

Advanced Computing: An International Journal (ACIJ), Vol.9, No.1, January 2018

14 Pages Posted: 16 Nov 2018

See all articles by Salim Lachdhaf

Salim Lachdhaf

University of Gabes - Department of Informatics

Mohammed Mazouzi

University of Sfax - Higher Institute of Business Administration

Mohamed Abid

University of Sfax - National School of Engineering of Sfax

Date Written: January 31, 2018

Abstract

Vehicular ad hoc networks (VANETs) are becoming promising and popular technologies in the recent intelligent transportation world. They are used to provide an Intelligent Transportation System (ITS), efficient Traffic Information System (TIS), and Life Safety.

The mobility of the vehicles and the volatile nature of the connections in the network have made VANET vulnerable to many security threats. Black hole attack is one of the security threat in which node presents itself in such a way to the other vehicles that it has the freshest and the shortest path to the destination. Hence in this research paper an efficient approach for the detection and prevention of the Black hole attack in the Vehicular Ad Hoc Networks (VANET) is presented.

The proposed solution is implemented on AODV (Ad hoc On demand Distance Vector) routing protocol one of the most popular routing protocol for VANET. The proposed strategy can detect both the single and the Cooperative Black hole attacks in the early phase of route discovery.

The simulation is carried on NS-2 and the results of the proposed scheme are compared to the fundamental DYMO routing protocol, this results are examined on various network performance metrics such as packet delivery ratio, throughput and end-to-end delay. The found results show the efficiency of the proposed method as the delivery ratio and end to end delay of the network does not deteriorate under a black hole attack.

Keywords: VANET, Black hole attack, Security, AODV

Suggested Citation

Lachdhaf, Salim and Mazouzi, Mohammed and Abid, Mohamed, Secured AODV Routing Protocol for the Detection and Prevention of Black Hole Attack in Vanet (January 31, 2018). Advanced Computing: An International Journal (ACIJ), Vol.9, No.1, January 2018 , Available at SSRN: https://ssrn.com/abstract=3272215

Salim Lachdhaf (Contact Author)

University of Gabes - Department of Informatics

Tunisia

Mohammed Mazouzi

University of Sfax - Higher Institute of Business Administration

Road of the Airport 4
Sfax, BP 1013
Tunisia

Mohamed Abid

University of Sfax - National School of Engineering of Sfax

Tunisia

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