| 基于演化规划的入侵检测规则挖掘算法 |
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| 引用本文： | 王再见,王元航.基于演化规划的入侵检测规则挖掘算法[J].安徽师范大学学报(自然科学版),2006,29(1):26-30. |
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| 作者姓名： | 王再见 王元航 |
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| 作者单位： | 安徽师范大学,物理与电子信息学院,安徽,芜湖,241000;安徽师范大学,物理与电子信息学院,安徽,芜湖,241000 |
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| 基金项目： | 国家自然科学基金
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安徽省教育厅自然科学基金 |
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| 摘 要： | 本文将演化规划应用于入侵检测规则自动提取,利用演化规划灵活的个体表示得到自然描述的规则,使规则易于理解,利用演化规划全局寻优的能力得到较好的入侵检测规则,从而降低误报率和漏报率.文中改进了适应度函数,最后给出了实验结果,并与其它文献的同类实验结果进行了比较,证明了改进演化规划的有效性和先进性.
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| 关 键 词： | 演化规划 入侵检测 数据挖掘 适应度函数 |
| 文章编号： | 1001-2443（2006）01-0026-05 |
| 收稿时间： | 2005-08-15 |
| 修稿时间： | 2005年8月15日 |
The Arithmetic in Distilling Intrusion Detection Rules Based on Genetic Programming |
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| WANG Zai-jian,WANG Yuan-hang.The Arithmetic in Distilling Intrusion Detection Rules Based on Genetic Programming[J].Journal of Anhui Normal University(Natural Science Edition),2006,29(1):26-30. |
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| Authors: | WANG Zai-jian WANG Yuan-hang |
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| Institution: | College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China |
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| Abstract: | 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. |
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| Keywords: | Genetic Programming intrusion detection data mining fitness function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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