[1]席亮,张凤斌,王大伟,等.混合匹配规则的否定选择算法[J].哈尔滨理工大学学报,2009,(05):52-55.
 XI Liang,ZHANG Feng-bin,WANG Da-wei.Mix-matching Rules Negative Selection Algorithm[J].哈尔滨理工大学学报,2009,(05):52-55.
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混合匹配规则的否定选择算法()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2009年05期
页码:
52-55
栏目:
计算机与控制工程
出版日期:
2009-10-25

文章信息/Info

Title:
Mix-matching Rules Negative Selection Algorithm
作者:
席亮; 张凤斌; 王大伟;
哈尔滨理工大学计算机科学与技术学院;
Author(s):
XI Liang; ZHANG Feng-bin; WANG Da-wei
School of Computer Science and Technology; Harbin University of Science and Technology; Harbin 150080; China
关键词:
人工免疫 入侵检测 否定选择 匹配规则 检测器
Keywords:
artificial immune intrusion detection negative selection matching rule detector
分类号:
TP393.08
文献标志码:
A
摘要:
针对目前基于免疫的检测器生成算法中,匹配规则单一造成的检测器质量低下的问题,提出一种基于混合匹配规则的否定选择算法,采用海明距离整体匹配的各段内R连续比特匹配的否定选择算法,即混合匹配否定选择算法,对算法的性能进行了分析.实验结果表明,该算法能够高效地产生所需要的检测器,提高了检测率,且降低了误报率.
Abstract:
On the basis of the analysis of the deficiencies of the current DGAs(detector generating algorithm) with single affinity matching,and to solve the low quality of detectors,this paper proposes an improved DGA using mix-matching rules: hamming whole matching and R-contiguous matching in each segment,named MMNS(Mix-matching Negative Selection).And the algorithm is analyzed as well.These experiments show that,the algorithm model can efficiently generate the needed detectors,evidently enhance the detection rate ...

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备注/Memo

备注/Memo:
国家自然科学基金项目(60671049)
更新日期/Last Update: 2009-12-16