Inferring streaming video quality from encrypted traffic: Practical models and deployment experience
Inferring the quality of streaming video applications is important for Internet service
providers, but the fact that most video streams are encrypted makes it difficult to do so. We …
providers, but the fact that most video streams are encrypted makes it difficult to do so. We …
Vicrypt to the rescue: Real-time, machine-learning-driven video-qoe monitoring for encrypted streaming traffic
Video streaming is the killer application of the Internet today. In this article, we address the
problem of real-time, passive Quality-of-Experience (QoE) monitoring of HTTP Adaptive …
problem of real-time, passive Quality-of-Experience (QoE) monitoring of HTTP Adaptive …
Measuring video QoE from encrypted traffic
G Dimopoulos, I Leontiadis, P Barlet-Ros… - Proceedings of the …, 2016 - dl.acm.org
Tracking and maintaining satisfactory QoE for video streaming services is becoming a
greater challenge for mobile network operators than ever before. Downloading and …
greater challenge for mobile network operators than ever before. Downloading and …
Using session modeling to estimate HTTP-based video QoE metrics from encrypted network traffic
Understanding the user-perceived quality of experience (QoE) of HTTP-based video has
become critical for content providers, distributors, and network operators. For network …
become critical for content providers, distributors, and network operators. For network …
From network traffic measurements to QoE for internet video
MJ Khokhar, T Ehlinger… - 2019 IFIP Networking …, 2019 - ieeexplore.ieee.org
Video streaming is a dominant contributor to the global Internet traffic. Consequently,
monitoring video streaming Quality of Experience (QoE) is of paramount importance to …
monitoring video streaming Quality of Experience (QoE) is of paramount importance to …
A survey of machine learning techniques for video quality prediction from quality of delivery metrics
O Izima, R de Fréin, A Malik - Electronics, 2021 - mdpi.com
A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …
applications. The growth of video streaming services places enormous pressure on network …
emimic: Estimating http-based video qoe metrics from encrypted network traffic
Understanding the user-perceived Quality of Experience (QoE) of HTTP-based video has
become critical for content providers, distributors, and network operators. For network …
become critical for content providers, distributors, and network operators. For network …
Real-time video quality of experience monitoring for https and quic
The widespread deployment of end-to-end encryption protocols such as HTTPS and QUIC
has reduced the visibility for operators into traffic on their networks. Network operators need …
has reduced the visibility for operators into traffic on their networks. Network operators need …
A machine learning approach to classifying YouTube QoE based on encrypted network traffic
Due to the widespread use of encryption in Over-The-Top video streaming traffic, network
operators generally lack insight into application-level quality indicators (eg, video quality …
operators generally lack insight into application-level quality indicators (eg, video quality …
Youtube qoe estimation based on the analysis of encrypted network traffic using machine learning
The widespread use of encryption in the delivery of Over-The-Top video streaming services
poses challenges for network operators looking to monitor service performance and detect …
poses challenges for network operators looking to monitor service performance and detect …