MIRAGE-COVID-CCMA-2022
Traffic of Communication and Collaboration Mobile Apps (CCMA) that bloomed with the COVID-19 pandemic, labeled with both the app and the activity performed.
MIRAGE-COVID-CCMA-2022 takes into consideration the traffic generated by more than 150 experimenters using 9 mobile apps for communication and collaboration via 3 devices. The experimenters used each app to perform at most 3 different user activities.
The dataset is released in two formats, making available both the raw traffic data captured (in JSON format) and a pre-processed version providing the set of inputs (in pickle format) leveraged in our work.
Hosted on Zenodo ↗ · DOI 10.5281/zenodo.23158727
- Experimenters
- 150+
- Apps
- 9
- Devices
- 3
- Format
- JSON, pickle
Apps and activities
9 apps in the downloadable release.
-
Discordcom.discordGoogle Play ↗ -
GotoMeetingcom.gotomeetingGoogle Play ↗ -
Google Meetcom.google.android.apps.meetingsGoogle Play ↗ -
Messengercom.facebook.orcaGoogle Play ↗ -
Skypecom.skype.raiderGoogle Play ↗ -
Slackcom.SlackGoogle Play ↗ -
Microsoft Teamscom.microsoft.teamsGoogle Play ↗ -
Webex Meetingscom.cisco.webex.meetingsGoogle Play ↗ -
ZOOM Cloud Meetingsus.zoom.videomeetings
How to cite
If you use MIRAGE-COVID-CCMA-2022 for scientific papers, academic lectures, project reports or technical documents, please help us increase its impact by citing:
Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè, “Contextual Counters and Multimodal Deep Learning for Activity-Level Traffic Classification of Mobile Communication Apps during COVID-19 Pandemic”, Elsevier Computer Networks, Special issue on Machine Learning empowered Computer Networks, 2022.
To cite the dataset itself:
Guarino, I., Aceto, G., Ciuonzo, D., Montieri, A., Persico, V., & Pescapè, A. (2026). MIRAGE-COVID-CCMA-2022 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23158727