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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2004, Vol. 5 Issue ( 9): 9-    DOI: 10.1631/jzus.2004.1076
    
Intrusion detection using rough set classification
ZHANG Lian-hua, ZHANG Guan-hua, YU Lang, ZHANG Jie, BAI Ying-cai
Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China; An Zong Information Technology Inc., Shanghai 200042, China; www.antpower.org; Department of Computing, Hong Kong Polytechnic University, Hong Kong, China
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Abstract  Recently machine learning-based intrusion detection approaches have been subjected to extensive researches because they can detect both misuse and anomaly. In this paper, rough set classification (RSC), a modern learning algorithm, is used to rank the fea

Key words： Intrusion detection      Rough set classification      Support vector machine      Genetic algorithm ,Computer     
Received: 21 May 2003     
CLC:  TP393  
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ZHANG Lian-hua
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ZHANG Lian-hua, ZHANG Guan-hua, YU Lang, ZHANG Jie, BAI Ying-cai. Intrusion detection using rough set classification. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2004, 5( 9): 9-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2004.1076     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2004/V5/I 9/9

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