Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic

Author:

Guarino Idio,Aceto Giuseppe,Ciuonzo Domenico,Montieri AntonioORCID,Persico Valerio,Pescapè Antonio

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference51 articles.

1. The lockdown effect: Implications of the COVID-19 pandemic on Internet traffic;Feldmann,2020

2. A characterization of the COVID-19 pandemic impact on a mobile network operator traffic;Lutu,2020

3. The impact of COVID on network utilization: an analysis on domain popularity;Affinito,2020

4. Campus traffic and e-Learning during COVID-19 pandemic;Favale;Comput. Netw.,2020

5. A. Ukani, A. Mirian, A.C. Snoeren, Locked-in during lock-down, in: 21st ACM Internet Measurement Conference, IMC, New York, NY, USA, 2021, pp. 480–486, http://dx.doi.org/10.1145/3487552.3487828.

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