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《Journal of Anhui Normal University(Natural Science)》 2006-01
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The Arithmetic in Distilling Intrusion Detection Rules Based on Genetic Programming

WANG Zai-jian,WANG Yuan-hang (College of Physics and Electronic Information,Anhui Normal University,Wuhu 241000,China)  
In this paper,we apply Genetic Programming to distill intrusion detection rules.We make use of flexible encoding of Genetic Programming to gain rules depicted naturally,so that the rules are easy to be understood.And we make use of Genetic Programming's powerful search performance to gain better intrusion detection rules,in order to reduce the false alarm rate(FA) and the detected attacks rate(DR).Our method has the following characteristic: improving fitness function.At last we show experimental results and compare them with other papers.In this way,we prove validity and advantage of our method.
【Fund】: 国家自然科学基金重大研究计划重点项目(90104030);; 安徽省教育厅2006年自然科学基金项目
【CateGory Index】: TP393.08
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