American Journal of Applied Sciences

Performance Evaluation of Blackhole Attack on AODV in VANET

Taha Saad

American Journal of Applied Sciences

Abstract

Black hole is one of theongoing network threats that impact the physical components of Vehicular Ad hocNetworks (VANETs) when more layers deal with routing mechanism of vehicular adhoc network. An algorithm for Ad hoc On-Demand Distance Vector (AODV) protocolin VANET was developed in order to identify collaborative group of nodes thatbehave as black hole. The simulation wasconfigured to perform three scenarios with number of nodes set to 10, 20 and 40nodes respectively. The result showed that the proposed algorithm provides abetter throughput performance, less end to end delay, high packet deliveryration, less packet drops and less time for processing the incoming andoutgoing nodes. Future works may consider testing the proposed solution onother types of attacks such as Wormhole, Jellyfish and Sybil attacks.

Copyright

© 0000 Taha Saad. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.