频繁情节挖掘方法在入侵检测中的应用

介绍了数据挖掘技术在入侵检测中的应用，提出了一种基于事件序列的频繁情节挖掘算法，并将该算法用于基于网络的入侵检测中。实验结果证明，与关联规则挖掘算法相比较，频繁情节挖掘算法可以有效地提高入侵检测系统的准确性，降低误报率。

Application of Frequent Episodes Mining on Intrusion Detection

Data mining methods including association rule mining have been applied to the intrusion detection problem. In this paper we describe another extension that uses frequent episodes for network intrusion detection. We first define frequent episodes and then describe experiments that explore its applicability for intrusion detection from audit data. Experimental results indicate that frequent episodes can improve the accuracy of the Intrusion Detection System (IDS) and reduce the false alarm rate.