Model and algorithm of tencent's voice service identification based on SAT: session association technology

Authors:
Wang Pan;Zhang Shun-Yi;Chen Xue-Jiao
Affiliations:
Information Network Research Institute, Nanjing University of Posts&Telecommunications, Nanjing, China;Information Network Research Institute, Nanjing University of Posts&Telecommunications, Nanjing, China;Department of Communication Engineering, Nanjing College of Information Technology, Nanjing,China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

This paper aims at voice traffic characteristics of Tencent QQ, which is the currently popular Internet instant communication software. It deeply focuses on how to effectively identify QQ voice traffic based on DPI (Deep Packet Inspection) and SAT(Session Association technology), then presents a model of identification and related algorithm. The voice identification system and the accuracy, scalability, robustness of the model and algorithm is validated in IP core network of China Telecom.