Investigating the Impact of Black Hole Attack on AODV with Statistical Tool-ANOVA

Abstract

MANET is a infrastructure less network in which the communication is carried out without any physical link. However, due to the characteristics of MANET like Open Environment, Dynamic Topology and Distributed Nature, there is lot of possibility for the attacks. Among the various passive and active attacks that prevail in this dynamic network, Black Hole attack is one such dangerous active attack in MANETs. In this attack, a malicious node falsely assures that it has the shortest path to the destination even though it does not have one. This type of attack seriously damages the performance of the network and should be strictly prevented. In this paper, the impact of black hole attack on the Ad-hoc On-demand Distance Vector (AODV) routing protocol is investigated using Network Simulator (NS-2.34).The performance analysis of this active attack is measured using the QoS metrics such as Packet Delivery Ratio, Throughput, End-to-End Delay, Jitter and Packets Dropped and also proved statistically using a Stat Tool.