The Design and Implementation of a Distributed Network Intrusion Detection System Based on Data Mining

Data mining is applied to intrusion detection system, which putting forward a system model based on data mining, improving the FP-Growth algorithm based on associative analysis, and refining the technology of FCM network intrusion detection based on statistical binning. The experimental result shows that the network intrusion detection developed by this paper can work very stably under the Ethernet, find intrusion activities in time, solve the problem of data mining speed effectively, enhance the detective ability of intrusion detection, and possess a favorable performance of intrusion detection.