Mobile traffic classification through physical control channel fingerprinting: A deep learning approach
HD Trinh, AF Gambin, L Giupponi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The automatic classification of applications and services is an invaluable feature for new
generation mobile networks. Here, we propose and validate algorithms to perform this task …
generation mobile networks. Here, we propose and validate algorithms to perform this task …
[PDF][PDF] Mobile Traffic Classification through Physical Control Channel Fingerprinting: a Deep Learning Approach
HD Trinh, AF Gambin, L Giupponi, M Rossi, P Dini - researchgate.net
The automatic classification of applications and services is an invaluable feature for new
generation mobile networks. Here, we propose and validate algorithms to perform this task …
generation mobile networks. Here, we propose and validate algorithms to perform this task …
Mobile Traffic Classification through Physical Control Channel Fingerprinting: a Deep Learning Approach
HD Trinh, AF Gambin, L Giupponi… - … ON NETWORK AND …, 2021 - research.unipd.it
The automatic classification of applications and services is an invaluable feature for new
generation mobile networks. Here, we propose and validate algorithms to perform this task …
generation mobile networks. Here, we propose and validate algorithms to perform this task …