Later archive addition

Website Fingerprinting at Internet Scale

Andriy Panchenko, Fabian Lanze, Andreas Zinnen, Martin Henze, Jan Pennekamp, Klaus Wehrle and Thomas Engel

A local passive eavesdropper on a Tor connection identifies which page a user is loading purely from packet sizes and directions, using a cumulative trace representation fed to an SVM that beats prior classifiers at a fraction of the cost. Evaluated on 300,000 webpages, it also shows no existing method holds up at true Internet scale.

Record

Researcher

Andriy Panchenko, Fabian Lanze, Andreas Zinnen, Martin Henze, Jan Pennekamp, Klaus Wehrle and Thomas Engel

Format

Whitepaper

In the archive

• Added to the 2016–17 archive after the original list was published

Tags

• side-channel
• info-leak
• tls
• measurement-study
• large-scale-scan
• owasp-a02-2021

This page is the archive's own catalogue record. The research is the work of Andriy Panchenko, Fabian Lanze, Andreas Zinnen, Martin Henze, Jan Pennekamp, Klaus Wehrle and Thomas Engel, first published at the original source. Preserved copies are kept so the citation survives its host.