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