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1
Introduction
2
Browser fingerprinting
3
Broader fingerprint
4
Fingerprint uniqueness
5
Fingerprint Tracking
6
Rulebased Algorithm
7
Random Forest
8
Vectorization
9
Random Forest Model
10
Evaluation
11
Fingerprint Sequence
12
Chains
13
Tracking Duration
14
Ownership
15
Average Ownership
16
IP Version
17
Conclusion
Description:
Explore the evolution of browser fingerprinting techniques and their implications for user tracking in this IEEE conference talk. Delve into the FP-STALKER approach, which links browser fingerprint evolutions to enable long-term tracking despite frequent changes. Learn about the rule-based and hybrid variants of FP-STALKER, and examine the results of an empirical study involving nearly 100,000 fingerprints from over 1,900 distinct browser instances. Discover how this innovative method can track browsers for an average of 54.48 days, with some browsers being trackable for more than 100 days. Gain insights into the broader implications of fingerprinting, fingerprint uniqueness, and the challenges of maintaining user privacy in the face of evolving tracking technologies.

Tracking Browser Fingerprint Evolutions - Antoine Vastel

IEEE
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