[1]WAN Yue-liang,ZHU He-jun,LIU Hong-zhi.Skype traffic identification based on flow characteristics[J].CAAI Transactions on Intelligent Systems,2010,5(2):139-143.
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Skype traffic identification based on flow characteristics

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 2 Page number: 139-143 Column: 学术论文—机器感知与模式识别 Public date: 2010-04-25
Title:
Skype traffic identification based on flow characteristics
Author(s):
WAN Yue-liang1;  ZHU He-jun2;  LIU Hong-zhi1
1.College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; 2. The Third Research Institute of Ministry of Public Security Run Technologies Co.,Ltd. ，Beijing 100044, China
Keywords:
traffic identification;  naive Bayesian classification;  deep packet inspection;  realtime flow characteristic
CLC:
TP393
DOI:
-
Abstract:
Most of the Skype traffic identification models are limited to Skype communication mechanisms and static payload characteristics. No net flow characteristics are considered in identification algorithms. To overcome this limitation, a hierarchical Skype traffic identification model based on naive Bayesian classification was developed. Flows were analyzed according to network connection modes. Results were then obtained according to realtime flow characteristics, such as packet size, average interpacket gap and burstiness of bandwidth consumption. The validity of the algorithm was proven by testing conducted on the Beijing China Unicom backbone network.
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Last Update: 2010-05-24

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