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Indexed by:会议论文

Date of Publication:2007-05-27

Included Journals:EI、CPCI-S

Volume:4489

Issue:PART 3

Page Number:461-+

Abstract:A low complexity clustering algorithm for intrusion detection based on wavecluster is presented. Using the multiresolution property of wavelet transforms, we can effectively identify arbitrarily shaped clusters at different scales and degrees of detail, moreover, applying wavelet transform removes the noise from the original feature space and make more accurate cluster found. Experimental results on KDD-99 intrusion detection dataset show the efficiency and accuracy of this algorithm. A detection rate above 98% and a false alarm rate below 3% are achieved. The time complexity of the wavecluster algorithm is O(N), which is comparatively low than other algorithms.