Machine learning-powered encrypted network traffic analysis: A comprehensive survey

M Shen, K Ye, X Liu, L Zhu, J Kang… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …

A review on machine learning–based approaches for Internet traffic classification

O Salman, IH Elhajj, A Kayssi, A Chehab - Annals of Telecommunications, 2020 - Springer
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 …

Quality of experience for streaming services: measurements, challenges and insights

K Bouraqia, E Sabir, M Sadik, L Ladid - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Subjective QoE of 360-degree virtual reality videos and machine learning predictions

MS Anwar, J Wang, W Khan, A Ullah, S Ahmad… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

EXPLAIN-IT: Towards explainable AI for unsupervised network traffic analysis

A Morichetta, P Casas, M Mellia - Proceedings of the 3rd ACM CoNEXT …, 2019 - dl.acm.org
The application of unsupervised learning approaches, and in particular of clustering
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

S Wassermann, M Seufert, P Casas… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …

Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimation

O Ayoub, S Troia, D Andreoletti… - Journal of Optical …, 2022 - ieeexplore.ieee.org
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 …

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 …