MIRAGE-Video Dataset

MIRAGE-Video 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.

DOWNLOAD THE PUBLIC MIRAGE-Video DATASET
slider image

Download MIRAGE-Video

Download the latest downloadable release


MIRAGE-Video takes into consideration the traffic generated by more than 280 experimenters using 14 video mobile apps via 3 devices. The dataset was collected during the time period Jun.2019-Mar.2020.

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


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

MIRAGE-Video Paper

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

Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè,
"Packet-level prediction of mobile-app traffic using multitask Deep Learning", Computer Networks, Volume 200, 2021.
                        
[ARTICLE] [BIBTEX]