特征选择的轻量级入侵检测系统

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 lightweight intrusion detection system

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 giv...