Research on a Distributed Network Intrusion Detection System Based on Association Rule Mining

Putting forward a system model based on association rule mining and improving the FP-Growth algorithm based on associative analysis. The experimental result shows that the network intrusion detection developed by this paper can work stably, find out intrusion activities accurately and promptly, improve the speed of data mining effectively, enhance the detective ability of intrusion detection greatly, and provide a solid protection for network security.