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数据挖掘技术在入侵检测中的应用
引用本文:齐建东,陶兰,孙总参.数据挖掘技术在入侵检测中的应用[J].计算机工程与应用,2004,40(6):158-161.
作者姓名:齐建东  陶兰  孙总参
作者单位:中国农业大学信息与电气工程学院,北京,100083
摘    要: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。

关 键 词:入侵检测  数据挖掘
文章编号:1002-8331-(2004)06-0158-04

Data Mining Techniques Applied for Intrusion Detection
Qi Jiandong Tao Lan Sun Zongcan.Data Mining Techniques Applied for Intrusion Detection[J].Computer Engineering and Applications,2004,40(6):158-161.
Authors:Qi Jiandong Tao Lan Sun Zongcan
Abstract: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.
Keywords:Intrusion detection  data mining  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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