Monitoring Video Resolution of Adaptive Encrypted Video Traffic Based on HTTP/2 Features

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI:10.1109/INFOCOMWKSHPS51825.2021.9484509

Hua Wu, Xin Li, Guang Cheng, Xiaoyan Hu

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引用次数: 4

Abstract

With the rapid growth of mobile video traffic, a wide range of third-party entities need to better understand the status of video quality for QoE monitoring and network management. Video resolution, as a direct reflection of video quality, is a key influence factor of QoE. However, the existing approaches cannot accurately identify the resolution of video traffic under HTTP/2 due to the multiplexing mechanism of HTTP/2. To address this issue, we proposed a method, dubbed as H2CI, to consider the size of the mixed data calculated based on HTTP/2 features as the fingerprint for identification. H2CI can accurately restore the original length of chunks from encrypted video streaming and perform the fine-grained resolution identification. The experimental results show the promise of our method, yielding more than 99% accuracy for fine-grained video resolution identification. Our method can be effectively applied to infer the adaption behavior of video streaming and monitor the QoE of mobile video services under HTTP/2.

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基于HTTP/2特性的自适应加密视频流量视频分辨率监控

随着移动视频流量的快速增长，各种第三方实体需要更好地了解视频质量的现状，以便进行QoE监控和网络管理。视频分辨率作为视频质量的直接反映，是影响QoE的关键因素。然而，由于HTTP/2的复用机制，现有的方法无法准确识别HTTP/2下视频流量的分辨率。为了解决这个问题，我们提出了一种称为H2CI的方法，将基于HTTP/2特征计算的混合数据的大小作为识别的指纹。H2CI可以准确地恢复加密视频流的原始块长度，并进行细粒度的分辨率识别。实验结果表明，该方法对细粒度视频分辨率识别的准确率超过99%。该方法可以有效地用于推断视频流的自适应行为和监控HTTP/2下移动视频业务的QoE。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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