Improvement of Bayesian Classifier for Intrusion Detection
Xie Zheng-long · Mianyang Shifan Xueyuan xuebao · 2009
Aimed at the deficiency between real-time defect and auto adjust of intrusion detection system,an improved Bayesian classifier is implemented.The skipping window technology is used to reform the reaction time of the IDS,and at the same time it can auto adjust the system parameters to reform the running performance of the IDS by using the designed performance adjuster.Improved Bayesian classifier can effectively reform the ability of the real-time,active and auto adjust of IDS.