AppSniffer

Title

AppSniffer: Towards Robust Mobile App Fingerprinting Against VPN

Overview

AppSniffer aims to precisely identify mobile apps when a VPN or a proxy is used to hide their identities. That is, AppSniffer recognizes apps with a high accuracy using their network traffic regardless of whether it is being sent over a VPN or not.

Datasets

We upload datasets to check the performance of AppSniffer.

See Quick Example Results

Quick Sample results (NordVPN CV1) are shown in the following file.

• https://github.com/network-traffic/AppSniffer/blob/main/AppSniffer_app_recognition.ipynb

Futher Evalutation

For futher evaulation, please use "AppSniffer_VPN_app_classifier_CV1to3.py" in "VPN App Classifier" directory.

Bibtex

@inproceedings{oh2023appsniffer,
  title={AppSniffer: Towards Robust Mobile App Fingerprinting Against VPN},
  author={Oh, Sanghak and Lee, Minwook and Lee, Hyunwoo and Bertino, Elisa and Kim, Hyoungshick},
  booktitle={Proceedings of the ACM Web Conference 2023},
  pages={2318--2328},
  year={2023}
}