计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (17): 110-112.DOI: 10.3778/j.issn.1002-8331.2010.17.031
• 网络、通信、安全 • 上一篇 下一篇
蒋加伏，吴 鹏
收稿日期:
修回日期:
出版日期:
发布日期:
通讯作者:
JIANG Jia-fu，WU Peng
Received:
Revised:
Online:
Published:
Contact:
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
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.
Key words: intrusion detection, feature selection, multi-objective evolutionary algorithm, sequential search
中图分类号:
TP393.08
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.
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.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2010.17.031
http://cea.ceaj.org/CN/Y2010/V46/I17/110
