文章基本信息

标题：Anomaly detection and localization by diffusion wavelet-based analysis on traffic matrix
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作者：Sun, Teng ; Tian, Hui ; Mei, Xuan 等
期刊名称：Computer Science and Information Systems
印刷版ISSN：1820-0214
电子版ISSN：2406-1018
出版年度：2015
卷号：12
期号：4
页码：1361-1374
DOI：10.2298/CSIS141001059S
出版社：ComSIS Consortium
摘要：Diffusion wavelets (DW) transform has been successfully used in Multi-Resolution Analysis (MRA) of traffic matrices because it inherently adapts to the structure of the underlying network. There are many potential applications based on DW analysis such as anomaly detection, routing optimization and capacity plan, which, however, have not been well developed. This paper shows how to apply two-dimensional DW transform in traffic matrix analysis and anomaly detection. The experimental results demonstrate the effectiveness of DW-based technique in traffic matrix analysis and anomaly detection in practical networks. It also shows this new technique is potential to be used in many other network applications.
关键词：traffic matrices; diffusion wavelets; multi-resolution analysis; anomaly detection