A Research based on Fuzzy Clustering in Intrusion Detection

Feng Li · Journal of Hebei Software Institute · 2009

Fuzzy Clustering is an effective method in intrusion detection,and it can distinguish normal traffic from abnormal traffic.This paper introduces a method based on Fuzzy Clustering,which can cluster the data with the similarity between the data.This method is effective to detect network intrusion according to the experiment.

Read the paper · More papers on PaperTik