Time-aware learning framework for over-the-top consumer classification based on machine-and deep-learning capabilities
With the widespread use of over-the-top (OTT) media, such as YouTube and Netflix, network
markets are changing and innovating rapidly, making it essential for network providers to …
markets are changing and innovating rapidly, making it essential for network providers to …
A heterogeneous learning framework for over-the-top consumer analysis reflecting the actual market environment
The over-the-top (OTT) market for media consumption over wired and wireless Internet is
growing. It is, therefore, crucial that service providers and carriers participating in the OTT …
growing. It is, therefore, crucial that service providers and carriers participating in the OTT …
Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
J Guan, J Cai, H Bai, I You - … Journal of Machine Learning and Cybernetics, 2021 - Springer
Abstract Internet of Things (IoT) can provide the interconnection and data sharing among
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …
A framework for resource-aware online traffic classification using CNN
As a fundamental problem in network security and management, traffic classification has
attracted more and more research interest. In existing work, machine learning based traffic …
attracted more and more research interest. In existing work, machine learning based traffic …
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
The Internet of Things (IoT) has witnessed unprecedented growth, resulting in a massive
influx of diverse network traffic from interconnected devices. Effectively classifying this …
influx of diverse network traffic from interconnected devices. Effectively classifying this …
Consumer IoT device deployment optimisation through deep learning: a CNN-LSTM solution for traffic classification and service identification
I Chakour, S Mhammedi, C Daoui… - … Journal of Ad Hoc …, 2024 - inderscienceonline.com
The internet of things (IoT) has revolutionised our world, connecting devices and creating a
more intelligent and interconnected environment. However, managing and utilising the vast …
more intelligent and interconnected environment. However, managing and utilising the vast …
Traffic classification for mobile video streaming using dynamic warping network
S Tang, C Li, X Qin, G Wei - 2019 28th Wireless and Optical …, 2019 - ieeexplore.ieee.org
Traditional traffic classification methods generally sort the Internet traffic for video streaming
to the same category. However, video streaming should be treated differently according to …
to the same category. However, video streaming should be treated differently according to …
Attention-based federated incremental learning for traffic classification in the Internet of Things
M Zhu, Z Chen, K Chen, N Lv, Y Zhong - Computer Communications, 2022 - Elsevier
Abstract The Internet of Things (IoT) traffic follows non-independent and identical distribution
(non-IID). Traditional machine learning classification methods will cause low classification …
(non-IID). Traditional machine learning classification methods will cause low classification …
Distinguishing between smartphones and IoT devices via network traffic
Internet of Things (IoT) devices are increasingly growing in mobile networks with the ubiquity
of various IoT services. They share the same infrastructure with smartphones while having …
of various IoT services. They share the same infrastructure with smartphones while having …
Self-attentive deep learning method for online traffic classification and its interpretability
Traffic classification is one of the fundamental tasks in computer networking. This task aims
to associate network traffic to a specific class according to the requirements (eg, QoS …
to associate network traffic to a specific class according to the requirements (eg, QoS …