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本文阐述了朴素贝叶斯网络的功能及特点,利用NB建立了入侵检测模型,根据模型对网络连接数据的属性进行特征选择。实验表明:NB模型对入侵检测系统有一定的优化作用,相对神经网络模型有更高的检测率。
In this paper, the functions and features of Naïve Bayesian network are described. Intrusion detection model is established by using NB, and the characteristics of network connection data are selected according to the model. Experiments show that: NB model has certain optimization effect on intrusion detection system, relative neural network model has a higher detection rate.