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基于决策树的主从结构的Self集构造算法
引用本文:符海东,谢琪,袁细国.基于决策树的主从结构的Self集构造算法[J].计算机工程与设计,2008,29(7):1616-1619.
作者姓名:符海东  谢琪  袁细国
作者单位:武汉科技大学计算机学院,湖北武汉,430081
摘    要:针对基于计算机免疫的入侵检测系统中所面临着"不完全Self集"的问题,设计了基于决策树的主从结构的Self集构造算法.将决策树引入到传统的否定选择算法中,通过决策树把经过免疫耐受淘汰后的候选检测器进行重新分类,并将满足设定条件的候选检测器集合构造"从Self集",实现Self集的动态扩充,最后利用"匹配矛盾"淘汰"从Self集"中不合格的元素.实验分析结果表明了该算法的有效性,改善了检测器识别性能.

关 键 词:计算机免疫  入侵检测  否定选择算法  决策树  自体集
文章编号:1000-7024(2008)07-1616-03
修稿时间:2007年4月30日

Constructional algorithm of principal and subordinate structure self-set based on decision trees
FU Hai-dong,XIE Qi,YUAN Xi-guo.Constructional algorithm of principal and subordinate structure self-set based on decision trees[J].Computer Engineering and Design,2008,29(7):1616-1619.
Authors:FU Hai-dong  XIE Qi  YUAN Xi-guo
Affiliation:FU Hai-dong,XIE Qi,YUAN Xi-guo(College of Computer Science , Technology,Wuhan University of Science , Technology,Wuhan 430081,China)
Abstract:Aimed at solving the problem of self-set incomplete that exists in intrusion detection system based on computer immune,a construction algorithm of principal and subordinate structure self-set based on decision trees is designed.The decision trees are introduced to traditional negative-selection algorithm and the candidate detectors which have been eliminated by the immune tolerance are reclassified by the decision trees,and the candidate detectors that meet the setting conditions compose the subordinate sel...
Keywords:computer immune  intrusion detection  negative selection algorithm  decision trees  self-set  
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