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基于数据挖掘的入侵检测系统的设计与实现
引用本文:彭茹. 基于数据挖掘的入侵检测系统的设计与实现[J]. 北京城市学院学报, 2005, 0(2): 88-92
作者姓名:彭茹
作者单位:北京城市学院,中关村学部,北京,100083
摘    要:入侵检测是网络安全领域的一个重要技术,也是当前网络安全理论研究的一个热点。本文提出了一个基于数据挖掘的入侵检测系统DMIDS,并详细介绍了DMIDS的基本思想,阐述其结构及主要功能,着重分析了该系统的数据挖掘过程。

关 键 词:入侵检测  网络安全  数据挖掘
文章编号:1008-4851(2005)-02-088-05
修稿时间:2005-04-20

The Design of Data Mining Based on the Intrusion Detection System Model Architecture
PENG Ru. The Design of Data Mining Based on the Intrusion Detection System Model Architecture[J]. Haidian University Journal, 2005, 0(2): 88-92
Authors:PENG Ru
Abstract:Intrusion detection is an important technology in network security domain, and it is a hot spot of network security theory researching in recent years. In this paper, a data mining based on the intrusion detection system model architecture called DMIDS is proposed. The basic theory of the system model is introduced, and its structure and main function are expounded, and data mining processing is analyzed.
Keywords:Intrusion detection   Network security   Data mining
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