| 引用本文： |
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钟淑瑛,李陶深,张敏.一种基于PCA技术的入侵检测特征提取方法[J].广西科学院学报,2005,(4):244-246. [点击复制]
- Zhong Shuying,Li Taoshen,Zhang Min.A Feature Extracting Method for Intrusion Detection Based on PCA[J].Journal of Guangxi Academy of Sciences,2005,(4):244-246. [点击复制]
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| 摘要: |
| 为了提取入侵检测数据信息的特征和提高入侵检测系统的处理效率,提出一种基于PCA (Principal Components Analysis)技术的入侵检测特征提取方法,并利用Matlab统计工具箱对该方法进行仿真实验。实验结果表明,利用该方法所提取的特征足以代表入侵检测数据的主要信息,根据特征提取结果所进行的数据压缩处理是可行的。 |
| 关键词: 入侵检测 PCA 特征提取 Matlab |
| DOI： |
| 投稿时间：2005-06-24 |
| 基金项目:广西科技攻关项目(桂科攻0385001)和广西留学回国人员科学基金项目(桂科回0342001)联合资助。 |
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| A Feature Extracting Method for Intrusion Detection Based on PCA |
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Zhong Shuying, Li Taoshen, Zhang Min
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| (School of Comp., Elec. and Info., Guangxi Univ., Nanning, Guangxi, 530004, China) |
| Abstract: |
| In order to extract the feature of intrusion detection data and increase the efficiency of intrusion detection system,a feature extracting method for intrusion based on PCA is revealed.The relevant simulation experiment using the Matlab statistics toolbox is carried out.The experimental results show that the extracting features in this method are enough to represent the main information of intrusion detection data,and the performing data compression in response to extracting feature information is feasible. |
| Key words: intrusion detection PCA feature extracting Matlab |
