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	An Improved Intrusion Detection System Based on Neural Network
	Han, Xiao
	2009
关键词	information security intrusion detection neural network RECOGNITION
英文摘要	Neural network approach is an advanced methodology used for intrusion detection Adaptive Resonance Theory (ART) is one kind of neural networks featuring self-organization of stable recognition categories and on-line learning ART 2-A is a fast clustering algorithm of the ART family But ART 2-A cannot process categorical values, while network traffic data collected for intrusion detection always contain this kind of data An improved model of ART 2-A is thus proposed to deal with categorical data properly To verify the accuracy of this new model, experiments were carried out on the KDD Cup 99 data set Results showed that the performance of the new model was satisfactory; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000284970100184&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/ICICISYS.2009.5358048
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/164166]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Han, Xiao. An Improved Intrusion Detection System Based on Neural Network. 2009-01-01.

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