计算机工程与应用2012，Vol.48Issue(6)：5-8,4.DOI:10.3778/j.issn.1002-8331.2012.06.002
改进的FCM算法在网络入侵检测中的应用
Application of improved FCM algorithm to network intrude detection
摘要
Abstract
In view of the problem that FCM(Fuzzy C-Means) cluster algorithm easily traps in a local optimum and strongly depends on the initialization, this paper proposes a point density weighted FCM based on search space smoothing technique to get a global optimum. Input by obtained cluster centers, it implements FCM algorithm again, checking the data point when it's membership value is smaller than the threshold, and if it is deleted, the objective function value changes obviously, then this data point is an abnormal data point, and the final small cluster should be abnormal data points. The experimental results based on the datum of KDDCUP99( Knowledge Discovery and Data Mining Cup 99) demonstrate that the algorithm possesses higher detection rate and lower misuse detection rate.关键词
入侵检测/搜索空间平滑/3SW-FCM算法/D-FCM算法Key words
intrude detection/search space smoothing/3SW-FCM algorithm/D-FCM algorithm分类
信息技术与安全科学引用本文复制引用
唐德玉,齐德昱,蔡先发,胡镜林..改进的FCM算法在网络入侵检测中的应用[J].计算机工程与应用,2012,48(6):5-8,4.基金项目
国家技术创新基金(No.08C26214411198) （No.08C26214411198）
粤港关键领域重点突破项目(No.2008A011400010). （No.2008A011400010）
