2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2014)
July 13, 2014 to July 15, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2014.62
Diffusion wavelets (DW) transform has been successfully used in Multi-Resolution Analysis (MRA) of traffic matrices because it inherently adaptsto the structure of the underlying network. But many applications based on DW analysis such as anomaly detection, routing optimization and capacity plan have not been well developed. The paper describes how two-dimensional version ofDW transform is used to analyze the traffic matrix and applied inanomalydetection. The analysis results demonstrate the efficiency of DW-based technique in anomaly detection in practical networks. It also shows that this new technique is potential to be used in many other network applications.
Analytical models, Multiresolution analysis, Wavelet transforms, Predictive models, Approximation methods
T. Sun and H. Tian, "Anomaly Detection by Diffusion Wavelet-Based Analysis on Traffic Matrix," 2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), Beijing, China, 2014, pp. 148-151.