Browser Fingerprinting: A survey
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Abstract (arXiv)
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 explain how this technique works and where it stems from. We analyze the related work in detail to understand the composition of modern fingerprints and see how this technique is currently used online. We systematize existing defense solutions into different categories and detail the current challenges yet to overcome.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 May 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 2.
5 papers.
- 2023Generating Phishing Attacks using ChatGPTcited by 16
- 2023Measuring Re-identification Riskcited by 6
- 2025FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learningcited by 2
- 2021Predicting Process Name from Network Datacited by 0
- 2025Differentially Private Synthetic Data Release for Topics API Outputscited by 0
- 2025FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning11 Dec 2025
- 2025Differentially Private Synthetic Data Release for Topics API Outputs30 Jun 2025
- 2023Generating Phishing Attacks using ChatGPT9 May 2023
- 2023Measuring Re-identification Risk12 Apr 2023
- 2021Predicting Process Name from Network Data3 Sep 2021