%0 Journal Article
%T Research of Intrusion Detection System Based on Improved Rough Neural Network<br>基于改进的粗糙神经网络模型的入侵检测系统研究
%A XU Yuan-Chun
%A TAN Xiao-Ping
%A <br>徐远纯
%A 谭小萍
%J 计算机科学
%D 2008
%I 
%X In this paper, the traditional rough neural network model is improved, adding a hiding unit with function of filtrating harms information. Then an intrusion detection model is proposed to show the advantages of both rough sets and neural network. With running an example, this model can identify harm information in WebPages and improve the efficiency of intrusion detection system obviously.
%K Rough neural network
%K Intrusion detection
%K Filtrating harm information
%K Model<br>粗糙神经网络
%K 入侵检测
%K 不良信息过滤
%K 模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5B14AC37C78F5341AB2C17D95980F49C&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=E84BBBDDD74F497C&eid=8BD23BD67BF01A5C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=5