An Improved Bayesian Algorithm For Anomaly Intrusion Detection
Zeng Mao-lin · Computer engineering & Software · 2011
Intrusion Detection has received more and more attention.Proposed a improved self adaptive Bayesian algorithm to the alert classification and reduce false positives in Intrusion Detection.By the experiment on KDD99 benchmark dataset,it is proved that this method has high classification rates in short response time and reduce false positives using limited computational resources.