%0 Journal Article
%T Lightweight Intrusion Detection System Based on Feature Selection<br>基于特征选择的轻量级入侵检测系统
%A CHEN You
%A CHENG Xue-Qi
%A LI Yang
%A DAI Lei
%A <br>陈友
%A 程学旗
%A 李洋
%A 戴磊
%J 软件学报
%D 2007
%I 
%X The intrusion detection system based on feature selection deals with huge amount of data which contains redundant and noisy features causing slow training and testing process, high resource consumption as well as poor detection rate. Feature selection, therefore, is an important issue in intrusion detection and it can delete redundant and noisy features. In order to improve performances of intrusion detection system in terms of detection speed and detection rate, a survey of intrusion detection system based on feature selection is necessary. This paper introduces the concepts and algorithms of feature selection, surveys the existing lightweight intrusion detection systems based on feature selection algorithms, groups and compares different systems in three broad categories: filter, wrapper, and hybrid. This paper concludes the survey by identifying trends of feature selection research and development in intrusion detection system. Feature selection is not only useful for intrusion detection system, but also helpful to provide a new research direction for intrusion detection system.
%K feature selection
%K lightweight intrusion detection system
%K filter
%K wrapper
%K hybrid<br>特征选择
%K 轻量级入侵检测系统
%K 过滤器
%K 封装器
%K 混合器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=62941269480E17EF&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=DF92D298D3FF1E6E&sid=71706E59E547123D&eid=1CF15D8E59774A81&journal_id=1000-9825&journal_name=软件学报&referenced_num=12&reference_num=31