Università degli Studi di Napoli Federico II Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI)

MIRAGE-2019

The original MIRAGE dataset: human-generated mobile app traffic with associated ground truth, for advancing the state of the art in mobile traffic analysis.

CC BY-NC-ND 4.0

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.

It takes into consideration the traffic generated by more than 280 experimenters using 40 mobile apps via 3 devices. The list below reports the apps contained in the downloadable version of the dataset.

How to cite

Hosted on Zenodo ↗ · DOI 10.5281/zenodo.23158592

MIRAGE-2019
Experimenters
280+
Apps
40
Devices
3
Award
Best Paper, ICCCS 2019

Apps in the downloadable release

20 apps in the downloadable release.

How to cite

If you use MIRAGE-2019 for scientific papers, academic lectures, project reports or technical documents, please help us increase its impact by citing:

Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, 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).

To cite the dataset itself:

Aceto, G., Ciuonzo, D., Montieri, A., Persico, V., & Pescapè, A. (2026). MIRAGE-2019 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23158592

Download

Before downloading

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