Intrusion Detection Based on Fuzzy C-Means Clustering Algorithm
Du Xiao · Computer Technology and Development · 2008
Clustering is an effective method of anomaly intrusion detection.It could distinguish normal flow and abnormal flow in the network data set.Uses fuzzy C-means clustering algorithm for dividing the network data set into normal flow and abnormal flow.A new distance measurement method which is designed for intrusion detecting problem specially has been put forward in this paper.In the end,use KDD 1999 data set to experiment algorithm,and the result proves that this algorithm could discover the abnormal flows effectively.