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基于DPI和会话关联技术的QQ语音业务识别模型和算法
引用本文:金婷,王攀,张顺颐,陆青莲,陈东.基于DPI和会话关联技术的QQ语音业务识别模型和算法[J].重庆邮电学院学报(自然科学版),2006,18(6):789-792.
作者姓名:金婷  王攀  张顺颐  陆青莲  陈东
作者单位:南京邮电大学网络技术研究中心,江苏南京210003
基金项目:国家“863”高技术研究发展计划资助项目(2005AA121620)
摘    要:针对互联网即时通信软件-腾讯QQ的语音会话特征进行了深入的分析,研究如何基于DPI净荷深度检测和会话关联技术来有效识别QQ语音业务,并设计出QQ语音业务的识别模型和算法,原型系统在10G电信IP骨干网中得到了充分验证。

关 键 词:QQ  流量识别  净荷深度检测  会话监控
文章编号:1004-5694(2006)06-0789-04
收稿时间:2006-08-29
修稿时间:2006-10-11

Model and algorithm of QQ's voice service identification based on DPI and session association technology
JIN Ting, WANG Pan, ZHANG Shun-yi, LU Qing-lian, CHEN Dong.Model and algorithm of QQ''''s voice service identification based on DPI and session association technology[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2006,18(6):789-792.
Authors:JIN Ting  WANG Pan  ZHANG Shun-yi  LU Qing-lian  CHEN Dong
Institution:Research Center of Network Technology, Nanjing University of Posts and Telecommunications. Jiangsu Nanjing 210003,P, R. China
Abstract:This paper aims at the voice and session characteristics of Tencent QQ,which is the currently popular Internet instant communication software.It focuses on how to effectively identify QQ voice service based on DPI(Deep Packet Inspection) and session association technology,then it presents the model and algorithm of QQ voice service identification.The voice identification system is validated in 10G/B IP core network of China Telecom.
Keywords:QQ  traffic identification  DPI  session monitor
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