一种基于数据挖掘的入侵检测模型

An IDS Model Based on Data Mining

现有入侵检测系统不但误报率高,且实时性差,这是由于入侵检测需要处理大量数据,数据挖掘技术的优势在于能从大量数据中发现特征和模式,本文提出了一种基于数据挖掘的入侵检测系统模型,并研究了建模过程的几个算法。

Due to the difficulty of dealing with a large amount of data, there exits high falsepositives and badly realtime in current intrusion detection systems.The advantage of data mining lies in finding out pattern and features from the vast amount of data. This paper presents an IDS model based on DM and some algorithms used.