基于神经网络专家系统的入侵检测方法

A Neural Network-based Expert System Intrusion Detection Approach

论文提出了一种基于神经网络专家系统的入侵检测方法。该方法将入侵检测特征值转化为犤0,1犦区间上相应的模糊取值,采用sigmoid函数作为激活函数进行不确定性推理,检测效率较原有的基于规则的专家系统有较大提高。

This paper describes a new neural network-based expert system intrusion detection approach.The approach translates the feature data into the fuzzy value belongs to0,1part,and makes uncertain inference with sigmoid function.Comparing with the rule-based expert system,the approach improves the inference efficiency.