A Novel Intrusion Detection Method Based on Adaptive Resonance Theory and Principal Component Analysis

被引：2
|
作者：
Xiao, Junbi [1 ]
Song, Hao [1 ]
机构：
[1] China Univ Petr East China, Coll Comp & Commun Engn, Dongying, Peoples R China
来源：
2009 WRI INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND MOBILE COMPUTING: CMC 2009, VOL 3 | 2009年
关键词：
D O I：
10.1109/CMC.2009.163
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel intrusion detection approach based on Adaptive Resonance Theory (ART ) and Principal Component Analysis (PCA) is put forward according to analyzing now intrusion detection methods In this model (PCA-MART2), it defines network behaviors relied upon the datagram. PCA is applied to feature selection about input samples and the multi-layered A RT2 is designed to subdivide the imprecise clustering. The modified algorithm improved the speed and accuracy of detection. The experimental results show that the intrusion detection system based on PCA-MART2 can detect intrusion behavior in network efficiently.
引用
收藏
页码：445 / +
页数：2
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