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The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking

  • Zengrui Liu
  • , Jimmy Dani
  • , Yinzhi Cao
  • , Shujiang Wu
  • , Nitesh Saxena
  • Nanjing University of Finance & Economics
  • Texas A&M University
  • Johns Hopkins University
  • F5.Inc

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While advertising has become commonplace in today’s online interactions, there is a notable dearth of research investigating the extent to which browser fingerprinting is harnessed for user tracking and targeted advertising. Prior studies only measured whether fingerprinting-related scripts are being run on the websites but that in itself does not necessarily mean that fingerprinting is being used for the privacy-invasive purpose of online tracking because fingerprinting might be deployed for the defensive purposes of bot/fraud detection and user authentication. It is imperative to address the mounting concerns regarding the utilization of browser fingerprinting in the realm of online advertising. This paper introduces “FPTrace” (fingerprinting-based tracking assessment and comprehensive evaluation framework), a framework to assess fingerprinting-based user tracking by analyzing ad changes from browser fingerprinting adjustments. Using FPTrace, we emulate user interactions, capture ad bid data, and monitor HTTP traffic. Our large-scale study reveals strong evidence of browser fingerprinting for ad tracking and targeting, shown by bid value disparities and reduced HTTP records after fingerprinting changes. We also show fingerprinting can bypass GDPR/CCPA opt-outs, enabling privacy-invasive tracking. In conclusion, our research unveils the widespread employment of browser fingerprinting in online advertising, prompting critical considerations regarding user privacy and data security within the digital advertising landscape.

Original languageEnglish
Title of host publicationWWW 2025 - Proceedings of the ACM Web Conference
PublisherAssociation for Computing Machinery, Inc
Pages4980-4995
Number of pages16
ISBN (Electronic)9798400712746
DOIs
StatePublished - 28 Apr 2025
Externally publishedYes
Event34th ACM Web Conference, WWW 2025 - Sydney, Australia
Duration: 28 Apr 20252 May 2025

Publication series

NameWWW 2025 - Proceedings of the ACM Web Conference

Conference

Conference34th ACM Web Conference, WWW 2025
Country/TerritoryAustralia
CitySydney
Period28/04/252/05/25

Keywords

  • Measurement studies of privacy issues
  • Privacy policies
  • Web privacy

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