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
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.
Key words:
Intrusion Detection System(IDS),
optimal combination of characters,
genetic algorithms
中图分类号:
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.
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.