| 基于多目标进化算法的入侵检测特征选择 |
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| 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. |
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| 作者姓名： | 蒋加伏 吴鹏 |
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| 作者单位： | 长沙理工大学 计算机与通信工程学院，长沙 410076 |
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| 基金项目： | 湖南省自然科学基金，湖南省科技计划项目基金 |
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| 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。
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| 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： | 2008-12-3 |
| 修稿时间： | 2009-2-16
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Feature selection based on multi-objective evolutionary algorithm for intrusion detection |
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| 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. |
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| Authors: | JIANG Jia-fu WU Peng |
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| Affiliation: | Institute of Computer and Communication Engineering，Changsha University of Science and Technology，Changsha 410076，China |
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| 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. |
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| Keywords: | intrusion detection feature selection multi-objective evolutionary algorithm sequential search |
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