节点文献
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
【摘要】 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。
【Abstract】 <Abstrcat>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.
【关键词】 网络;
粗糙模糊模型;
入侵检测;
粗糙集;
【Key words】 network; rough-fuzzy model; intrusion detection; rough sets;
【Key words】 network; rough-fuzzy model; intrusion detection; rough sets;
- 【文献出处】 西华大学学报(自然科学版) ,Sichuan University of Science and Technology , 编辑部邮箱 ,2005年03期
- 【分类号】TP393.08
- 【被引频次】4
- 【下载频次】99