%0 Journal Article
%T Research of the Network Intrusion Detection Based on Fuzzy Clustering<br>基于模糊C均值聚类的网络入侵检测算法
%A YANG De-Gang College of Computer Science
%A Engineering
%A Chongqing University
%A Chongqing College of Mathematics
%A Computer Science
%A Chongqing Normal University
%A Chongqing
%A <br>杨德刚
%J 计算机科学
%D 2005
%I 
%X The intrusion detection become the second floor defense line of the network security. Analyze to the char- acteristic of the intrusion detection technique for newly and unknown attack,and brings forward algorithm of Network Intrusion Detection based on Fuzzy C-means Clustering. The result of simulations run on the KDD-99 datasets show the feasible,efficient and extensible for unknown intrusion detection,and increase detection rate of the clustering de- tection and decrease the false alarms rate.
%K Intrusion detection
%K Clustering analysis
%K Fuzzy c-means clustering algorithm<br>模糊C均值聚类
%K 入侵检测
%K 网络安全
%K 检测算法
%K KDD-99数据集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=65F58F2A482CA218&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=CA4FD0336C81A37A&sid=7AA74D31F1FF2DCE&eid=117F81797AB182FC&journal_id=1002-137X&journal_name=计算机科学&referenced_num=10&reference_num=6