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入侵检测中的一种时序数据挖掘方法

A Data Mining Method of Time-series in Intrusion Detection
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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。 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.
作者 杨静 郭伟
机构地区 空军雷达学院
出处 《计算机工程与应用》 CSCD 北大核心 2004年第12期164-165,173,共3页 Computer Engineering and Applications
关键词 入侵检测 审计数据 小波变换 数据挖掘 Intrusion detection,Audit data,Wavelet transform,Data mining
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