基于NB分类方法的网络异常检测模型

Network anomaly detection model based on nave Bayesian classifier

在深入研究网络异常行为及异常检测系统相关现状的基础上,提出了基于NB分类方法的网络异常检测模型,并详细论述了该模型的工作原理。实验结果表明该方法是有效的。

This paper discussed the abnormal behavior in network and the recently technologies on network anomaly detection. Moreover, presented network anomaly detection model based on naive Bayesian classifier and described the working principle of the model in detail. Finally, experimental results show this method is effective.