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在IDS中利用数据挖掘技木提取用户行为特征
引用本文:蒋嶷川,田盛丰.在IDS中利用数据挖掘技木提取用户行为特征[J].铁路计算机应用,2001,10(1):4-6.
作者姓名:蒋嶷川  田盛丰
作者单位:北方交通大学
摘    要:IDS(入侵测系统)是一种测网络入侵行为的工具。然而现在的IDS在提取用户行为特征的时候不能很好的反映出真实的情况,经常出现漏报或误报的情况。作者详细讨论了利用数据挖掘技术提取用户行为特征的方法,提出了采用数据挖掘技术的入侵,测系统的结构模型。

关 键 词:IDS  入侵测系统  网络安全  数据挖掘  用户行为特征  信息安全  入侵模式

Using Data Mining Technology to Extract User's Characteristic in IDS
Jiang Yichuan,Tian Shengfeng.Using Data Mining Technology to Extract User''''s Characteristic in IDS[J].Railway Computer Application,2001,10(1):4-6.
Authors:Jiang Yichuan  Tian Shengfeng
Abstract:IDS (Intrusion Detection System) is a tool which is used to detect the intrusions to network systems. However, the extracted characteristic of the current IDS often can't reflect the real situation well, so the mistakes and omissions of alarm often emerge. To solve this question, the application of (he DM(Data Mining) technology to extract the user's characteristic in IDS is discussed, and the structure, of the IDS with the application of DM technology is presented in this paper.
Keywords:Intrusion detection system(IDS)  Data mining(DM)  Intrusion model  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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