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结合SVM的交互式遗传算法在入侵检测中的应用 被引量：4

Application of improved interactive genetic algorithm incorporated with SVM in intrusion detection
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摘要 针对入侵检测中存在样本少、特征多、难于将实际经验与现有算法有机结合的问题,将交互式遗传算法应用到入侵检测技术中,并结合SVM的特点,设计出改进后的分类识别算法。实验证明,将SVM与交互式遗传算法相结合应用于入侵检测领域中,算法有效、可行,而且能获得很好的检测率。 For the problems with few samples, a lot of characteristics and difficult to incorporate the practical experience and the existing algorithm,this paper applies the interactive genetic algorithm into intrusion detection technology,incorporates the characteristic of SVM, then designs the improved classified recognition algorithm.The experiment result proves that the improved interactive genetic algorithm incorporated with SVM in intrusion detection domain is effective,feasible,and can obtain very good detection rate.
作者 阚媛 刘以安 薛潇 魏敏
机构地区 江南大学信息工程学院
出处 《计算机工程与应用》 CSCD 北大核心 2010年第29期200-202,210,共4页 Computer Engineering and Applications
基金 高等学校科技创新工程重大项目培育资金项目
关键词 交互式遗传算法 支持向量机 入侵检测 Interactive Genetic Algorithm（IGA） Support Vector Machine （SVM） intrusion detection
分类号 TP393.08 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献9

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二级参考文献14

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共引文献34

同被引文献36

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二级引证文献12

计算机工程与应用
2010年 第29期

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