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| 网络入侵检测系统中的最佳特征组合选择方法 | |
| 引用本文： | 余生晨,王树,高晓燕,黄江兰.网络入侵检测系统中的最佳特征组合选择方法[J].计算机工程,2008,34(1):150-152. |
| 作者姓名： | 余生晨 王树 高晓燕 黄江兰 |
| 作者单位： | 1. 华北科技学院计算机系,北京,101601 2. 华北科技学院计算机系,北京,101601;中国矿业大学,北京,100083 |
| 摘 要： | 为了提高网络入侵检测系统(IDS)的实时性、可用性以及整体性能，该文给出了基于遗传算法的从n个特征中选择出数量为k(n>k)个的一组最佳特征的方法，这组特征是对分类最有效的，它可使分类评价指标J达到最大。实验证明，该方法是有效的，能提高IDS的总体性能。 |
| 关 键 词： | 网络入侵检测 最佳特征组合 遗传算法 |
| 文章编号： | 1000-3428（2008）01-0150-03 |
| 收稿时间： | 2007-02-15 |
| 修稿时间： | 2007年2月15日 |
Selecting Method on Optimal Combination of Characters Intrusion Detection System |
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| YU Sheng-chen,WANG Shu,GAO Xiao-yan,HUANG Jiang-lan.Selecting Method on Optimal Combination of Characters Intrusion Detection System[J].Computer Engineering,2008,34(1):150-152. | |
| Authors: | YU Sheng-chen WANG Shu GAO Xiao-yan HUANG Jiang-lan |
| Affiliation: | (1. Department of Computer, North China Institute of Science and Technology, Beijing 101601; 2. China University of Mining Technology, Beijing 100083) |
| Abstract: | In order to improve the reality, usability and whole performance of network Intrusion Detection System(IDS), this paper presents the approach in which an optimal combination of k(n>k) characters used to classification of IDS is selected from n characters, which is based on genetic algorithms. The optimal set of characters is best for recognizing intruder, which makes classification evaluation target J to achieve maximum. Tests show that this method and IDS(neural network) are useful and available, so as to improve the whole performance of IDS. |
| Keywords: | Intrusion Detection System(IDS) optimal combination of characters genetic algorithms |
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