Long-Term Observation on Browser Fingerprinting: Users’ Trackability and Perspective
Pugliese G, Rieß C, Gassmann F, Benenson Z (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Pages Range: 558-577
Conference Proceedings Title: Proceedings on Privacy Enhancing Technologies (PoPETs), Volume 2020: Issue 2
URI: https://petsymposium.org/popets/2020/popets-2020-0041.pdf
Open Access Link: https://petsymposium.org/popets/2020/popets-2020-0041.pdf
Abstract
Browser 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. This is the first study with ground truth on user level, which allows the assessment of trackability based on fingerprints of multiple browsers and devices per user. Based on our longitudinal observations of 88,000 measurements with over 300 considered browser features, we optimized feature sets for mobile and desktop devices. Further, we conducted two user surveys to determine the representativeness of our user sample based on users’ demographics and technical background, and to learn how users perceive browser fingerprinting and how they protect themselves.
Authors with CRIS profile
Gaston Pugliese
Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)
Christian Rieß
Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)
Zinaida Benenson
Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)
Related research project(s)
Involved external institutions
Germany (DE)How to cite
APA:
Pugliese, G., Rieß, C., Gassmann, F., & Benenson, Z. (2020). Long-Term Observation on Browser Fingerprinting: Users’ Trackability and Perspective. In Sciendo (Eds.), Proceedings on Privacy Enhancing Technologies (PoPETs), Volume 2020: Issue 2 (pp. 558-577).
MLA:
Pugliese, Gaston, et al. "Long-Term Observation on Browser Fingerprinting: Users’ Trackability and Perspective." Proceedings of the Proceedings on Privacy Enhancing Technologies (PoPETs), Volume 2020: Issue 2 Ed. Sciendo, 2020. 558-577.
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