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: 

• TP309