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《Journal of Tianjin University of Technology》 2007-01
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Innovation to hybrid intrusion detection methodology

YUAN Wei,CAO Zuo-liang,ZHU Hui(School of Mechnical Engineering,Tianjin University of Technology, Tianjin 300191,China)  
The hybrid intrusion detection algorithm proposed here is based on the effective integration of behavior modeling and pattern matching,where behavior modeling extends anomaly-based intrusion detection algorithm and pattern matching implements signature-based intrusion detection algorithm.The adoption of self-learning behavior modeling has the capability to determine the legitimate profiles according to user activities or program activities without any intervention of human security expert.The combination of the two intrusion technologies has dramatically reduced false positive and false negative alarms.A Servlet Filter-based security agent is an intelligent plugin with the basic ability of intrusion analysis.
【Fund】: 天津市科技攻关项目(0431079R)
【CateGory Index】: TP393.08
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