An Agent based Intrusion Detection System for Wireless Sensor Networks Using Multilevel Classification
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
With the rapid growth of internet communication and availability of techniques to intrude the network, network security has become indispensable. In this paper, we propose a multilevel classification technique for intrusion detection that uses intelligent agents and a combination of decision tree classifier and Enhanced Multiclass Support Vector Machine algorithm for the implementation of an effective intrusion detection system in order to provide security to Wireless Sensor Networks. The main advantage of this approach is that the system can be trained with unlabeled data and is capable of detecting previously “unseen” attacks using agents. Verification tests have been carried out by using the KDD cup’99 data set. From the experiments conducted in this work, it has been observed that significant improvement has been achieved in intrusion detection rate and also in the reduction of false alarm rate
Authors and Affiliations
K. Kulothungan , S. Ganapathy , P. Yogesh , A. Kannan
Keywords
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