Detection of Black Hole Attack in Mobile Ad-hoc Networks using Ant Colony Optimization – simulation Analysis

C V  Anchugam   and K  Thangadurai

doi:10.17485/ijst/2015/v8i13/58200

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Detection of Black Hole Attack in Mobile Ad-hoc Networks using Ant Colony Optimization – simulation Analysis

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i13/58200

Year: 2015, Volume: 8, Issue: 13, Pages: 1-10

Original Article

Detection of Black Hole Attack in Mobile Ad-hoc Networks using Ant Colony Optimization – simulation Analysis

C.V. Anchugam^* and K. Thangadurai

P.G. and Research Department of Computer Science, Government Arts College (Autonomous), Karur - 639005, Tamil Nadu, India; [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background: Security in Mobile Ad hoc Networks (MANETs) is an essential component for basic network function. Black hole attack may cause packet dropping, misrouting the information from source to destination.
Methods: Biology-inspired techniques like as Ant Colony Optimization (ACO) is used to modify the Ad-hoc On Demand Distance Vector (AODV) routing protocol. The ant place of at each node calculates its pheromone value by using the forwarding ratio at node. This modified protocol is compared with existing protocol by using various parameters i.e. packet delivery ratio, end-to-end delay and throughput.
Results: The results shows to increase in packet delivery ratio, throughput and decrease in end-to end delay show better performance of proposed work as compared existing.

Keywords: ACO, Black Hole Attack, Challenges, MANETs, Security