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

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

Software

• Other Information and Computing Sciences
• Computer Software
• Information and Computing Sciences

Mobile Traffic, Security

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Thijs van Ede , 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.

• 2023-10-26 first online, published, posted

4TU.ResearchData

FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic

University of Twente (Semantics Cybersecurity & Services)