Monitoring Video Resolution of Adaptive Encrypted Video Traffic Based on HTTP/2 Features
Hua Wu, Xin Li, Guang Cheng, Xiaoyan Hu · 2021
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.