The DOI displayed 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/db4fbbb9-fe7d-44b0-b8ec-02a8c81481d9

van Ede, Thijs (2023): Code for Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/db4fbbb9-fe7d-44b0-b8ec-02a8c81481d9.v1

Categories

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

Keywords

Mobile Traffic Security

Licence

MIT

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by Thijs van Ede

This repository contains the code for for AppScanner that was implemented as part of the NDSS FlowPrint paper [PDF], it implements the Single Large Random Forest Classifier of AppScanner [PDF]. We ask people to cite both works when using the software for academic research papers.

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

References

• https://doi.org/10.1109/EuroSP.2016.40

Organizations

University of Twente (Semantics Cybersecurity & Services)