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Software . 2025
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Software . 2025
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Software . 2025
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HyTrack: Resurrectable and Persistent Tracking Across Android Apps and the Web

Authors: Wessels, Malte; Koch, Simon; Drescher, Jan Niklas; Bettels, Louis; Klein, David; Johns, Martin;

HyTrack: Resurrectable and Persistent Tracking Across Android Apps and the Web

Abstract

README This is the artifact for our USENIX SECURITY 2025 Paper "HyTrack: Resurrectable and Persistent Tracking Across Android Apps and the Web".We propose a new mobile tracking technique and search for it in the wild.Disclaimer:This is the historical version of our pipeline. Please use the latest versions if you intend to use them for your work, to profit from future features and bug fixes. E.g., for the dynamic app analysis use https://github.com/App-Analysis/scala-appanalyzer Structure of the Artifact The artifact is divided into subfolders: demo: Contains a demo video of HyTrack in action, as well as a description of the demo. PoC: Contains the proof-of-concept implementation of HyTrack: Two Android apps and a web server. webscrape: Contains our webscraper to scrape `assetlinks.json` files from the web. dynamicanalysis: Contains our pipeline for the dynamic app network analysis. staticanalysis: Contains our pipeline for the static app analysis. Usage Refer to the READMEs in the respective subfolders. Cite Us @inproceedings{USENIX:Wessels:2025, title = {HyTrack: Resurrectable and Persistent Tracking Across Android Apps and the Web}, author = {Malte Wessels and Simon Koch and Jan Drescher and Louis Bettels and David Klein and Martin Johns}, year = 2025, month = aug, booktitle = {34th USENIX Security Symposium (USENIX Security 25)}, publisher = {USENIX Association}, address = {Seattle, WA} }

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average