特征选择的轻量级入侵检测系统

Feature selection lightweight intrusion detection system

特征选择能够很好地消除冗余和噪音特征,有利于提高入侵检测系统的检测速度和效果,因而对基于特征选择的入侵检测系统进行研究是必要的,也符合入侵检测领域的发展趋势。提出了一种基于过滤器模式的轻量级入侵检测系统,无论是在数据集的特征选择算法还是分类器的参数优化上,都给出了有效的实施策略,提高了检测速度,降低了分类干扰,提高了入侵检测的检测率。

Feature selection can eliminate redundant and noisy features well,is advantageous in the enhancement of intrusion detection system＇s detection speed and detection rate,thus a survey of intrusion detection system based on feature selection is necessary,also conforms to the trend in the field of intrusion detection.This paper proposes a new lightweight intrusion detection system based on filter mode.Whether the feature selection algorithm in the data set or optimization of the parameters of classifier,are given effective implementation strategy that will raise the detection speed,reduce classification interference,and thus improve the intrusion detection rate.