| 免疫算法在模糊检测器生成中的应用 |
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| 引用本文： | 裴振奎,宋建伟,韩锦峰,李华.免疫算法在模糊检测器生成中的应用[J].计算机工程与设计,2008,29(10):2496-2498. |
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| 作者姓名： | 裴振奎 宋建伟 韩锦峰 李华 |
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| 作者单位： | 中国石油大学,计算机与通信工程学院,山东,东营,257061 |
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| 摘 要： | 目前入侵检测中传统否定选择算法忽略了正常和异常模式之间的模糊界限而造成了检测效率低下,以及生成的检测器数量冗繁,用在非我模式识别时计算复杂度相当高.针对这些缺陷,重点研究了在入侵检测系统中定义模糊检测规则的重要性,并提出利用免疫算法的优化搜索性能来进化模糊检测器的方法.实验结果表明,该方法生成的检测器能够允许更简洁的自我和非我的表示方式,降低了检测规则的脆弱性,检测效果较好.
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| 关 键 词： | 入侵检测 模糊界限 免疫算法 优化搜索 模糊检测器 脆弱性 |
| 文章编号： | 1000-7024(2008)10-2496-03 |
| 修稿时间： | 2007年6月24日 |
Application of immune algorithm to generate fuzzy-detector in intrusion detection |
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| PEI Zhen-kui,SONG Jian-wei,HAN Jin-feng,LI Hua.Application of immune algorithm to generate fuzzy-detector in intrusion detection[J].Computer Engineering and Design,2008,29(10):2496-2498. |
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| Authors: | PEI Zhen-kui SONG Jian-wei HAN Jin-feng LI Hua |
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| Affiliation: | PEI Zhen-kui,SONG Jian-wei,HAN Jin-feng,LI Hua(College of Computer , Communication Engineering,China University of Petroleum,Dongying 257061,China) |
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| Abstract: | The neglect of the fuzzy limit between the self and nonself gave the poor efficiency of detection,where traditional negative selection algorithm is used in intrusion detection.And the computational complexity by using large numbers of detectors is too high.Aimed at these flaws,the necessary of fuzzy detection rules,and a hybrid approach are proposed which uses the searching performance of immune algorithm to generate fuzzy-detectors.The results of the experiment prove that fuzzy rules express the self/nonse... |
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| Keywords: | intrusion detection fuzzy limit immune algorithm optimization search fuzzy detector frangibility |
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