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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 923792, 26 pages
http://dx.doi.org/10.1155/2015/923792
Research Article

Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

1National Digital Switching System Engineering & Technological Research Center, Jianxue Street No. 7, Jinshui District, Zhengzhou 450002, China
2Air Defence Forces Academy of PLA, Zhengzhou, China
3Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang, China

Received 29 April 2015; Revised 5 August 2015; Accepted 6 August 2015

Academic Editor: Mark Leeson

Copyright © 2015 Yuchong Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yuchong Li, Xingguo Luo, Yekui Qian, and Xin Zhao, “Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model,” Mathematical Problems in Engineering, vol. 2015, Article ID 923792, 26 pages, 2015. doi:10.1155/2015/923792