This repository provides a curated collection of research papers and presentations focused on counter-detection and web privacy. It serves as a valuable resource for researchers, security professionals, and enthusiasts interested in understanding and mitigating advanced tracking and fingerprinting techniques used on the web.

How It Works

The project is a static collection of academic and technical documents, organized by year, title, topics, and authors. It does not contain executable code or provide any active functionality. The value lies in the aggregation and categorization of research on browser fingerprinting, TLS fingerprinting, device identification, and related privacy-enhancing or privacy-violating technologies.

Quick Start & Requirements

This is a data repository, not a software project. No installation or execution is required. Access is via direct browsing of the README content.

Highlighted Details

• Comprehensive coverage of browser fingerprinting techniques from 2008 to 2023.
• Includes research on TLS fingerprinting, audio/GPU fingerprinting, and behavioral biometrics.
• Features papers on counter-detection methods and privacy-preserving browser features.
• Covers topics like CAPTCHA breaking, bot detection, and network traffic analysis.

Maintenance & Community

The repository is maintained by prescience-data. No community links or active development signals are present in the README.

Licensing & Compatibility

The repository itself does not specify a license. The content consists of links to external research papers, which are subject to their respective copyright and licensing terms.

Limitations & Caveats

This is a purely informational resource; it does not offer tools for analysis or mitigation. The content is a snapshot of research and may not include the latest advancements or practical implementations.