Website Fingerprinting: Attacking Popular Privacy Enhancing Technologies With The Multinomial Naïve-Bayes Classifier.pdf

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Preview of Website Fingerprinting: Attacking Popular Privacy Enhancing Technologies with the Multinomial Naïve-Bayes Classifier
🔗 Source: epub.uni-regensburg.de
📊 Size: 326 KB
📄 Pages: 12 pages
⬇️ Downloads: 153

Summary

Researchers present a novel website fingerprinting method using a Multinomial Naïve-Bayes classifier to identify websites accessed through encrypted tunnels, achieving 97% accuracy on a sample of 775 sites and over 300,000 real-world traffic dumps, outperforming previous methods and posing a threat to popular privacy-enhancing technologies like Tor and JonDonym.

Description

Researchers present a novel website fingerprinting method using a Multinomial Naïve-Bayes classifier to identify websites accessed through encrypted tunnels,...

Technical Information

  • File Format: PDF
  • File Size: 326 KB
  • Pages: 12
  • Language: EN
  • Total Downloads: 153
  • Last Updated: 1 month ago

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