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基于多目标进化算法的入侵检测特征选择
引用本文:蒋加伏,吴鹏. 基于多目标进化算法的入侵检测特征选择[J]. 计算机工程与应用, 2010, 46(17): 110-112. DOI: 10.3778/j.issn.1002-8331.2010.17.031
作者姓名:蒋加伏  吴鹏
作者单位:长沙理工大学 计算机与通信工程学院,长沙 410076
基金项目:湖南省自然科学基金,湖南省科技计划项目基金 
摘    要:针对入侵检测系统要求检测率和误报率均衡优化,提出一种由顺序搜索策略改进的多目标进化算法,对特征空间进行压缩,以选择最优特征子集。实验结果表明,改进的多目标进化算法实现了检测率与误报率的均衡优化,较好地提高了入侵检测系统的性能。

关 键 词:入侵检测  特征选择  多目标进化算法  顺序搜索  
收稿时间:2008-12-03
修稿时间:2009-2-16 

Feature selection based on multi-objective evolutionary algorithm for intrusion detection
JIANG Jia-fu,WU Peng. Feature selection based on multi-objective evolutionary algorithm for intrusion detection[J]. Computer Engineering and Applications, 2010, 46(17): 110-112. DOI: 10.3778/j.issn.1002-8331.2010.17.031
Authors:JIANG Jia-fu  WU Peng
Affiliation:Institute of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410076,China
Abstract:According to that an intrusion detection system needs to achieve the best trade-off between detection rate and false positive rate,an improved multi-objective evolutionary algorithm is proposed to reduce the feature space and then select the best feature subset.The experiment results show that the best trade-off between detection rate and false positive rate can be achieved by the improved multi-objective evolutionary algorithm.The algorithm can improve the performance of the intrusion detection system.
Keywords:intrusion detection  feature selection  multi-objective evolutionary algorithm  sequential search
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