现代电子技术2007，Vol.30Issue(2)：130-132,3.
An Adaptive Clustering Algorithm for Intrusion Detection
An Adaptive Clustering Algorithm for Intrusion Detection
QIU Juli1
作者信息
- 1. Normal University of Anshan,Anshan,114005,China
- 折叠
摘要
Abstract
In this paper,we introduce an adaptive clustering algorithm for intrusion detection based on wavecluster which was introduced by Gholamhosein in 1999 and used with success in image processing.Because of the non-stationary characteristic of network traffic,we extend and develop an adaptive wavecluster algorithm for intrusion detection.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 96% and a false alarm rate below 3% are achieved.关键词
clustering/data mining/intrusion detection/wavelet transformsKey words
clustering/data mining/intrusion detection/wavelet transforms分类
信息技术与安全科学引用本文复制引用
QIU Juli..An Adaptive Clustering Algorithm for Intrusion Detection[J].现代电子技术,2007,30(2):130-132,3.
