Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
doi: 10.4121/e08823b5-ceff-4ebc-a967-290ef9cacc7e.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/e08823b5-ceff-4ebc-a967-290ef9cacc7e
doi: 10.4121/e08823b5-ceff-4ebc-a967-290ef9cacc7e
Datacite citation style:
van Ede, Thijs; Bortolameotti, Riccardo; Continella, Andrea; Ren, Jingjing; Dubois, Daniel J. et. al. (2023): Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/e08823b5-ceff-4ebc-a967-290ef9cacc7e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
by
Thijs van Ede
,
Riccardo Bortolameotti,
Andrea Continella
,
Jingjing Ren,
Daniel J. Dubois,
Martina Lindorfer
,
David Choffnes,
Maarten van Steen
,
Andreas Peter
,
Riccardo Bortolameotti,
Andrea Continella
,
Jingjing Ren,
Daniel J. Dubois,
Martina Lindorfer
,
David Choffnes,
Maarten van Steen
,
Andreas Peter
This repository contains the code for FlowPrint by the authors of the NDSS FlowPrint paper [PDF]. Please cite FlowPrint when using it in academic publications. This repository provides a stable artefact version of FlowPrint. For the most up-to-date version that receives updates, please see the Github repository.
history
- 2023-10-26 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
organizations
University of Twente (Semantics Cybersecurity & Services)
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/53eca195-a7dc-4c53-9477-5afaa7b1a957.git
