Association Rule- Based Network Intrusion Detection System
Wenji Wang · Hedianzixue yu tance jishu · 2015
In order to fix the problems existed in traditional IDS,e. g. high leak rate detection / false alarm rates and feature library needs frequently upgrade,based on IHEP network environment,this paper presented a new Intrusion Detection System based on association- rule mining algorithm. This system can detect unknown attack by generating rules from training data. Experiment proved that the system has great accuracy and performance on both unknown and known attack detection.