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入侵检测中的一种时序数据挖掘方法
引用本文:杨静,郭伟.入侵检测中的一种时序数据挖掘方法[J].计算机工程与应用,2004,40(12):164-165,173.
作者姓名:杨静  郭伟
作者单位:空军雷达学院,武汉,430010
摘    要:该文论述了实时网络入侵检测系统现有的缺陷,并通过对系统审计数据的分析,提出了一种基于小波变换时序分析的入侵检测方法。将该算法运用于入侵检测的时序分析中,可以较好地解决高速宽带下网络实时扫描检测的瓶颈问题,提高了实时网络入侵检测的效率。

关 键 词:入侵检测  审计数据  小波变换  数据挖掘
文章编号:1002-8331-(2004)12-0164-02

A Data Mining Method of Time-series in Intrusion Detection
Yang Jing Guo Wei.A Data Mining Method of Time-series in Intrusion Detection[J].Computer Engineering and Applications,2004,40(12):164-165,173.
Authors:Yang Jing Guo Wei
Abstract:In this thesis,the defects of real-time intrusion detection system are discussed.By analyzing the audit data of the system,it advances a new intrusion detection method based on time-series analysis of wavelet transformation.It is a favorable solution to bottleneck problem of real-time scanning detection in high-speed wide band,and to improvement of efficiency for the real-time intrusion detection by applying this arithmetic to time-series analysis in the intrusion de-tection system.
Keywords:Intrusion detection  Audit data  Wavelet transform  Data mining
本文献已被 CNKI 维普 万方数据 等数据库收录!
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