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A Heuristic Clustering Algorithm for Intrusion Detection Based on Information Entropy
作者姓名:XIONG  Jiajun  LI  Qinghua  TU  Jing
作者单位:[1]Department of Computer, Radar Academy, Wuhan 430019, Hubei, China [2]College of Computer Science, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
基金项目:Supported by the National Natural Scienee Foundation of China(60273075)
摘    要:0Introduction Withmoreandmorestudyingprojectsapplythedataminingtechnologytointrusiondetection,agreatdealofdataminingalgorithmsforintrusiondetectionhavebeenre alized1],thetypicalis:associationruleminingalgorithm,frequencysceneruleminingalgorithm,classificationalgo rithm,andclusteringalgorithm.Thefirstthreealgorithmofthosebelongto“thesupervisedstudying”,whichneedatrain ingdatasetofgoodqualityandwithmarking,butitisnoteasyusuallytogetthetrainingdataset2].However,cluste ringalgorithmis“theunsu…

关 键 词:侵入检测  数据采掘  群集  信息熵
文章编号:1007-1202(2006)02-0355-05
收稿时间:2005-03-10

A heuristic clustering algorithm for intrusion detection based on information entropy
XIONG Jiajun LI Qinghua TU Jing.A Heuristic Clustering Algorithm for Intrusion Detection Based on Information Entropy[J].Wuhan University Journal of Natural Sciences,2006,11(2):355-359.
Authors:Xiong Jiajun  Li Qinghua  Tu Jing
Institution:(1) Department of Computer, Radar Academy, 430074 Wuhan, Hubei, China;(2) College of Computer Science, Huazhong University of Science and Technology, 430074 Wuhan, Hubei, China
Abstract:This paper studied on the clustering problem for intrusion detection with the theory of information entropy, it was put forward that the clustering problem for exact intrusion detection based on information entropy is NP complete, therefore, the heuristic algorithm to solve the clustering problem for intrusion detection was designed, this algorithm has the characteristic of incremental development, it can deal with the database with large connection records from the internet.
Keywords:intrusion detection  data mining  clustering  information entropy
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