HIGHLIGHTS
- What: The authors aim to provide developers and researchers with powerful tool for studying browser fingerprints and developing effective strategies to enhance user privacy in the face of evolving tracking techniques. The authors propose a novel approach that leverages feature modeling techniques to represent browser fingerprints in a structured and comprehensive manner. By translating each fingerprint into a tree structure and incorporating their constraints, the authors aim to gain a deeper understanding of the variability and uniqueness of browser fingerprints across different browser configurations. The authors propose algorithms for building individual feature trees from configurations and merging . . .
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