Browser Fingerprinting: A survey
Fingerprints can be used as a source of signals to identify bots and fraudsters.
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- 2026-10-10
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FingerprintJS github.com
Identifies browser and hybrid mobile application users even when they purge data storage. Allows you to detect account takeovers, account sharing and repeated malicious activity.
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Automobile Driver Fingerprinting, 2016 autosec.org
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Anti-fingerprinting tb-manual.torproject.org
How Tor Browser mitigates browser fingerprinting.
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Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes arxiv.org
(AAAI) Divides model fingerprinting into three core components, to identify ∼100 previously unexplored combinations of these and gain insights into their performance.
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Reproducible Machine Learning for Credit Card Fraud detection fraud-detection-handbook.github.io
A practical handbook on how to identify patterns in transactions.
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F5 f5.com
Advanced Persistent Bots Report (2025) - Examines the behavior of advanced persistent bots across 200 billion transactions, assessing the impact of mitigation on web and mobile API platforms. Analysis reveals that while overall automated attacks declined in most sectors, the…
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