International Journal of Innovative Research and Development

Abstract

Security is always an important issue especially for the case of Mobile Ad Hoc Network (MANET) because the structure of the network makes it easier target for attackers. It can also be observed that the each type of attack affects the network characteristics differently hence a careful observation & analysis of network characteristics could describe the state of the network such as network is under specific attack or operating normally. Our work is performed in two parts in first part we simulated the network model under different attack using network simulator and during simulation we collected the network characteristics data such as packet drop rate, average number of hops per route, maximum end to end delay etc.. In the second part of our work the collected data is used for training of PNN which finally used for attack classification or detection. The simulation results shows that by selecting effective characteristics and proper training the detection rate up to 90% is achievable.

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