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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第1期150-152,共3页
Computer Engineering
关键词
网络入侵检测
最佳特征组合
遗传算法
Intrusion Detection System（IDS）
optimal combination of characters
genetic algorithms
