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FP-STALKER: Tracking Browser Fingerprint Evolutions
2018
2018 IEEE Symposium on Security and Privacy (SP)
Yet, despite these frequent changes, we show that browser fingerprints can still be linked, thus enabling long-term tracking. FP-STALKER is an approach to link browser fingerprint evolutions. ...
To evaluate FP-STALKER, we conduct an empirical study using 98, 598 fingerprints we collected from 1, 905 distinct browser instances. ...
By doing so, FP-STALKER captures the atomic evolutions that occur between two consecutive fingerprints from the same browser instance. ...
doi:10.1109/sp.2018.00008
dblp:conf/sp/VastelLRR18
fatcat:esa72hll2rh4rpkwvc2aqfcwom
Gummy Browsers: Targeted Browser Spoofing against State-of-the-Art Fingerprinting Techniques
[article]
2021
arXiv
pre-print
tracking of U and when only collecting U's fingerprinting information only once. ...
a wide variety of fingerprinting features to mimic many different browsers (including mobile browsers and the Tor browser). ...
These algorithms aim to link browser fingerprint evolutions for tracking the user. ...
arXiv:2110.10129v1
fatcat:dwhqf64orjffxpdywdb7wuhusq
Long-Term Observation on Browser Fingerprinting: Users' Trackability and Perspective
2020
Proceedings on Privacy Enhancing Technologies
AbstractBrowser fingerprinting as a tracking technique to recognize users based on their browsers' unique features or behavior has been known for more than a decade. ...
We present the results of a 3-year online study on browser fingerprinting with more than 1,300 users. ...
Do-not-track" as user-triggered evolutions [3] . ...
doi:10.2478/popets-2020-0041
fatcat:cvs44jl4sfbevb6hwyvdkq2xru
Browser Fingerprinting: A survey
[article]
2019
arXiv
pre-print
With this paper, we survey the research performed in the domain of browser fingerprinting, while providing an accessible entry point to newcomers in the field. ...
We analyze the related work in detail to understand the composition of modern fingerprints and see how this technique is currently used online. ...
By collecting a fingerprint every three days, the algorithm behind FP-Stalker was capable of tracking a device for 51.8 days on average. ...
arXiv:1905.01051v2
fatcat:garoieeijnc7hjd46sp3wgwrgu
DRAWNAPART: A Device Identification Technique based on Remote GPU Fingerprinting
[article]
2022
pre-print
In the second scenario, we integrate a one-shot learning version of our technique into a state-of-the-art browser fingerprint tracking algorithm. ...
DrawnApart makes two contributions to the state of the art in browser fingerprinting. ...
To track a user, an adversary must link fingerprint evolutions into a single coherent chain. ...
doi:10.14722/ndss.2022.24093
arXiv:2201.09956v1
fatcat:rxrjjunlvfgpld7nor33k6c4fy
Web Application Security (Dagstuhl Seminar 18321)
2019
In this third seminar on the topic, a healthy mix of academics, practitioners and representatives of all major browser vendors reflected on the last decade of web security research and discussed the upcoming ...
*3 papers: FP-Scanner: The Privacy Implications of Browser Fingerprint Inconsistencies Antoine Vastel, Pierre Laperdrix, Walter Rudametkin, Romain Rouvoy (USENIX Sec. 2018) FP-STALKER: Tracking Browser ...
Fingerprint Evolutions Antoine Vastel, Pierre Laperdrix, Walter Rudametkin, Romain Rouvoy (S&P 2018) Hiding in the Crowd: an Analysis of the Effectiveness of Browser Fingerprinting at Large Scale Alejandro ...
doi:10.5445/ir/1000117998
fatcat:fzhobqzrpbap3bt233kexwvxhi
Tales of Favicons and Caches: Persistent Tracking in Modern Browsers
2021
Proceedings 2021 Network and Distributed System Security Symposium
unpublished
[82] , designed FP-STALKER, a system the monitors the evolution of browser fingerprints across time, and found that the evolution of fingerprints strongly depends on the device's type and utilization ...
We find that combining our favicon-based tracking technique with immutable browser-fingerprinting attributes that do not change over time allows a website to reconstruct a 32-bit tracking identifier in ...
doi:10.14722/ndss.2021.24202
fatcat:jj3hp5hyvvb7zcr5ajds32ir7i