Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
A review on machine learning–based approaches for Internet traffic classification
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …
approaches have been proposed to classify Internet traffic to manage both security and …
Quality of experience for streaming services: measurements, challenges and insights
Over the last few years, the evolution of network and user handsets' technologies, have
challenged the telecom industry and the Internet ecosystem. Especially, the unprecedented …
challenged the telecom industry and the Internet ecosystem. Especially, the unprecedented …
Subjective QoE of 360-degree virtual reality videos and machine learning predictions
360-degree video provides an immersive experience to end-users through Virtual Reality
(VR) Head-Mounted-Displays (HMDs). However, it is not trivial to understand the Quality of …
(VR) Head-Mounted-Displays (HMDs). However, it is not trivial to understand the Quality of …
EXPLAIN-IT: Towards explainable AI for unsupervised network traffic analysis
The application of unsupervised learning approaches, and in particular of clustering
techniques, represents a powerful exploration means for the analysis of network …
techniques, represents a powerful exploration means for the analysis of network …
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 …
A framework for in-network QoE monitoring of encrypted video streaming
I Orsolic, L Skorin-Kapov - IEEE access, 2020 - ieeexplore.ieee.org
With the amount of global network traffic steadily increasing, mainly due to video streaming
services, network operators are faced with the challenge of efficiently managing their …
services, network operators are faced with the challenge of efficiently managing their …
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 …
Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimation
Artificial intelligence (AI) and machine learning (ML) continue to demonstrate substantial
capabilities in solving a wide range of optical-network-related tasks such as fault …
capabilities in solving a wide range of optical-network-related tasks such as fault …
Estimating video streaming QoE in the 5G architecture using machine learning
S Schwarzmann, C Cassales Marquezan… - Proceedings of the 4th …, 2019 - dl.acm.org
Compared to earlier mobile network generations, the 5G system architecture has been
significantly enhanced by the introduction of network analytics functionalities and ex-tended …
significantly enhanced by the introduction of network analytics functionalities and ex-tended …