现代电子技术2016，Vol.39Issue(15)：28-31,4.DOI:10.16652/j.issn.1004-373x.2016.15.008
微信流量分类模型及其业务识别算法研究
Research on WeChat traffic classification model and its business identification algorithm
范颖 1邹香玲1
作者信息
- 1. 河南广播电视大学 理工学院，河南 郑州 450008
- 折叠
摘要
Abstract
Taking the WeChat traffic model and business identification as the main research contents,the characteristic (pulsed long connection)of WeChat traffic is analyzed,and the classification model is put forward. On the basis of the classification model,the protocol feature of WeChat is analyzed,and the WeChat traffic is identified accurately by matching the effective load. An algorithm to identify the WeChat traffic futher is poposed to classify the WeChat sub⁃business with fine grit. The experiment was per⁃formed to classify the WeChat traffic. The algorithm can identify 52%WeChat sub⁃business with 98%classification accuracy.关键词
QoS/流量分类/协议特征/深包检测/细粒度分类Key words
QoS/traffic classification/protocol feature/deep packet detection/fine grit classification分类
信息技术与安全科学引用本文复制引用
范颖,邹香玲..微信流量分类模型及其业务识别算法研究[J].现代电子技术,2016,39(15):28-31,4.
