数据挖掘技术在入侵检测中的应用

Data Mining Techniques Applied for Intrusion Detection

数据挖掘技术已在误用检测和异常检测中得到应用。论文介绍了数据挖掘在入侵检测系统研究中的一些关键的技术问题,包括规则挖掘算法、属性集的选择和精简、模糊数据挖掘等。最后深入讨论了入侵检测系统的自适应问题,并提出了相应的解决方法。

Data mining methods have been used to build automatic intrusion detection systems based on anomaly de-tection.The goal of this paper is to provide a survey of some works that employ data mining techniques for intrusion detection.And some critical technical problem is addressed,including rules mining algorithm,features selection and re-duction and integrating data mining with fuzzy logic,etc.A new idea is proposed toward how to improve the adaptability of IDS further,the solution way is also provided.