An assessment based approach to detect black hole attack in MANET

Abstract

Nowadays MANETs has gained an esteemed popularity in networking. MANETs are self-organized, selfconfigured and self-administered networks. These unique characteristics make MANETs different from their hardwired counterparts and make susceptible to many security attacks. This paper observes the effects of Black hole attacks on the network performance. This paper also analyze three movement models of ONE simulator for mobility (shortest map based movement model, random-way point movement model and cluster movement model) is done and then select the best model as the simulation table parameters. Here Hint-based Probabilistic routing protocol is used to propose a local utility function based scheme to detect black hole nodes. Then comparison of the network performance in the presence of a black hole and in the absence of black hole using different performance metrics like packet drop, packet delivered throughput and overhead ratio in the network. ONE simulator is used to simulate Black Hole attacks.

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