计算机科学 ›› 2006, Vol. 33 ›› Issue (9): 81-82.

• 计算机网络与信息安全 • 上一篇    下一篇

基于粗糙集关联规则挖掘的入侵检测研究

马洪江   

  1. 阿坝师范高等专科学校计算机科学系,四川623000
  • 出版日期:2018-11-17 发布日期:2018-11-17

MA Hong-Jiang (Computer Science Department of Aba Teachers College, Sichuan 623000)   

  • Online:2018-11-17 Published:2018-11-17

摘要: 本文用作为数据挖掘的工具,对入侵检测中采集的网络数据集进行分析,知识约简,从中挖掘出一些对用户有用的潜在规则,不再依赖专家的经验,使入侵检测具有更好的灵活性,智能性。

关键词: 粗糙集 数据挖掘 关联规则 入侵检测

Abstract: This paper uses RST as tool of data mining to analyze network data set of intrusion detection so that mine some potential rules useful to user from these data, the proposed method no longer rely on experience of expert and lead to the intrusion detection

Key words: Rough set, Data mining, Association rules, Intrusion detection

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