Network Intrusion Detection Model Based on Clustering Analysis
Wenhua Li · Jisuanji gongcheng · 2011
This paper introduces Fuzzy C-means(FCM) clustering method,researches the methods of intrusion detection based on clustering analysis,and establishes a new model of network intrusion detection.The new model is included data pre-processor,clustering-component based FCM,Updater of clustering-center,and detection system,and improves the availability of intrusion detection system.Experimental result proves that the model can detect intrusion from the network connection data at a lower system false alarm rate and a higher detection rate.