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| Network Video Traffic Classification Based on Probability Distribution of M Value |
| YANG Lingyun①② DONG Yuning① WANG Zaijian② TANG Pingping①② |
①(College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing 210003, China)
②(College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China) |
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Abstract To obtain better results for fine-grained video traffic classification, this paper analyzes the relationship between the feature variations during transmission and video traffic classification. According to the nature that different types of video services contain different downlink transmission rate variation patterns, a new video flow feature M value probability distribution, based on downlink byte rate variation is proposed, and video classification is realized by Support Vector Machine (SVM). The experimental results show that the probability distribution of M value is a better feature for classification of six kinds of common network video applications than other commonly used flow features.
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Received: 28 June 2017
Published: 16 March 2018
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| Fund:The National Natural Science Foundation of China (61271233, 61401004, 61601005), The HIRP Program of Huawei Technology Co. Ltd, The Ph.D Programs Foundation of Anhui Normal University (2016XJJ129) |
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Corresponding Authors:
DONG Yuning
E-mail: dongyn@njupt.edu.cn
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