粗糙模糊模型及其在入侵检测中的应用

Rough-Fuzzy Model and Its Application in Intrusion Detection

研究了基于粗糙集理论建立粗糙模糊模型的方法,并使用该模型对入侵检测中的数据进行约简,得到反映正常行为特征轮廓的决策规则。同时给出了相应建立模型的步骤与约简算法。实验结果表明:该方法能有效地用于入侵检测。

This paper proposes a method to construct fuzzy model based on rough sets theory. Using this model the data of intrusion detection is reduced and decision rules reflecting characteristic profile of normal behavior are obtained. After that, the steps and algorithm are presented to build the corresponding model. Experimental results show that this method can be effectively used in intrusion detection.