MIRAGE-2019 Dataset

MIRAGE-2019 is a human-generated dataset for mobile traffic analysis with associated ground-truth, having the goal of advancing the state-of-the-art in mobile app traffic analysis.

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MIRAGE-2019 takes into consideration the traffic generated by more than 280 experimenters using 40 mobile apps via 3 devices.

APP LIST reports the details on the apps contained in the downloadable version of the dataset.


Creative Commons License
MIRAGE-2019 dataset is released under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

MIRAGE-2019 Paper

If you are using MIRAGE-2019 human-generated dataset for scientific papers, academic lectures, project reports, or technical documents, please help us increasing its impact by citing the following reference: 

Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico and Antonio Pescapè,
"MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation",
4th IEEE International Conference on Computing, Communications and Security (ICCCS 2019), October 2019, Rome (Italy).
[ARTICLE] [BIBTEX]