American Journal of Applied Sciences

Performance Evaluation of Blackhole Attack on AODV in VANET

Taha Saad

DOI : 10.3844/ajassp.2018.141.148

American Journal of Applied Sciences

Volume 15, Issue 2

Pages 141-148


Black hole is one of the ongoing network threats that impact the physical components of Vehicular Ad hoc Networks (VANETs) when more layers deal with routing mechanism of vehicular ad hoc network. An algorithm for Ad hoc On-Demand Distance Vector (AODV) protocol in VANET was developed in order to identify collaborative group of nodes that behave as black hole. The simulation was configured to perform three scenarios with number of nodes set to 10, 20 and 40 nodes respectively. The result showed that the proposed algorithm provides a better throughput performance, less end to end delay, high packet delivery ration, less packet drops and less time for processing the incoming and outgoing nodes. Future works may consider testing the proposed solution on other types of attacks such as Wormhole, Jellyfish and Sybil attacks.


© 2018 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.