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入侵检测中数据挖掘技术的应用研究分析 被引量：12

A Research into Application of Data Mining Technology in Intrusion Detection
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摘要 随着计算机的发展,它在现代社会扮演着越来越关键的角色。而网络安全正成为逐渐严重的问题,受到人们的广泛关注。本文详细分析近年来网络安全研究热点之一的入侵检测技术,概述了多种基于数据挖掘的入侵检测技术,对这些技术进行了分析和比较,并给出了一个基于数据挖掘的入侵检测系统框架。最后讨论了该领域当前存在的问题及今后的研究方向。 With the increasing growth of computer the networks play increasingly vital roles in modern society. The network security has become a serious problem. This paper analyzes intrusion detection technique which is a highlighted topic of network security research in recent years. In this paper, many intrusion detection techniques based on data mining are summarized, and meanwhile, these techniques are comnpared. Then a framework of intrusion detection based on data mining is described. Finally, the existing problems and the future direction in this field are discussed.
作者 杨德刚
机构地区 重庆师范大学数学与计算机科学学院
出处 《重庆师范大学学报（自然科学版）》 CAS 2004年第4期27-30,共4页 Journal of Chongqing Normal University:Natural Science
基金 重庆师范大学科研基金
关键词 入侵检测技术 网络安全 数据挖掘技术 入侵检测系统 计算机 细分 角色 问题 发展 领域 intrusion detection data mining clustering analysis association analysis sequential pattern analysis
分类号 N1 [自然科学总论] TP393.08 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献17

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二级参考文献19

  • 1[10]Portnoy, L., Eskin, E., Stolfo, S. J. Intrusion detection with unlabeled data using clustering. In: Barbara, D ed. Proceedings of ACM CSS Workshop on Data Mining Applied to Security. Philadelphia: ACM Press, 2001.
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共引文献5

同被引文献60

引证文献12

二级引证文献37

重庆师范大学学报（自然科学版）
2004年 第4期

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