Title :
Model and Algorithm of Tencent´s Voice Service Identification Based on SAT: Session Association Technology
Author :
Wang Pan ; Zhang Shun-Yi ; Chen Xue-Jiao
Author_Institution :
Inf. Network Res. Inst., Nanjing Univ. of Posts & Telecommun., Nanjing, China
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 PI core network of China Telecom.
Keywords :
Internet telephony; telecommunication traffic; China Telecom; DPI; Internet instant communication software; PI core network; SAT; VOIP traffic; deep packet inspection; session association technology; tencent´s voice service identification; Communication system control; Inspection; Payloads; Protocols; Speech analysis; Tail; Telecommunication control; Telecommunication traffic; Traffic control; Web and internet services;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5301794
