模糊序列模式在网络异常检测中的应用

Fuzzy Frequent Episodes Applied to the Intrusion Detetion

数据挖掘中的关联原则挖掘和序列模式挖掘常用于网络入侵检测问题。在本文中 ,我们试图运用模糊集理论将序列挖掘算法进行改进 ,提出一种模糊序列模式用于网络异常检测 ,并用初步的实验对该算法进行证明。

Data mining methods including association rule mining and frequent episode mining have been applied to the intrusion detection problem.In this paper,we try to improve the algorithm of frequent episode mining by using fuzzy set methods,and propose a new algorithm that applied to the intrusion detection.Experiment can prove our algorithm.