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An identification method of video service quality of experience based on encrypted traffic data

A traffic data and experience quality technology, applied in the field of video service experience quality identification, can solve the problems of difficult automatic collection of data and difficult application of solutions.

Inactive Publication Date: 2020-12-01
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] (1) It is difficult to automatically collect data with QoE level labels
[0013] (2) Features often require expert design and screening
[0014] Due to the above problems, this solution is difficult to apply

Method used

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  • An identification method of video service quality of experience based on encrypted traffic data
  • An identification method of video service quality of experience based on encrypted traffic data
  • An identification method of video service quality of experience based on encrypted traffic data

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Embodiment Construction

[0066] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, and the purpose and effects of the present invention will become more apparent.

[0067] figure 1 The flow chart of the method of the present invention is given. The present invention divides the QoE level identification of video playback under encrypted video traffic into three steps, that is, firstly collect encrypted traffic network video playback data, and construct a training set. Then use the constructed training set to train the neural network classification model. After the classification model training is completed, the classification model can be used to generate the QoE level of video playback for the new encrypted traffic network video playback data.

[0068] Such as figure 1 As shown, in step 101, collecting video playback data refers to using a dedicated network video service quality data collection system suitable for e...

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Abstract

The invention discloses a video service experience quality identification method based on encrypted traffic data. The method comprises the following steps: acquiring an encrypted traffic file and corresponding event information when a video is played; processing the event information to determine the QoE level of the playing;preprocessing the encrypted traffic file to obtain TCP stream data; constructing an end-to-end deep learning model by taking the QoE grade as a label and the TCP stream data as a feature; The model can identify the QoE level of video playing according to the encrypted traffic file. According to the video QoE level identification method provided by the invention, the video QoE level can be accurately identified, and a fully automatic scheme is provided.

Description

technical field [0001] The invention relates to the fields of multi-sensor acquisition and traffic classification, and in particular to a video service quality of experience (Quality of Experience, QoE) identification method based on encrypted traffic data. Background technique [0002] The video service quality of experience level recognition technology refers to the technology of identifying the user's service experience after the video service user watches the video. Using this technology, network service providers can dynamically adjust network parameters to improve bandwidth utilization. [0003] Video QoE evaluation is mainly obtained through subjective evaluation or objective evaluation, because subjective evaluation is time-consuming and expensive, and cannot cover all network conditions and user viewing habits. Therefore, more and more video service providers use objective evaluation to overcome the shortcomings of subjective evaluation. However, objective evaluat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/00G06N3/08
Inventor 陈锐杜歆
Owner ZHEJIANG UNIV
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