Skip to content

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

Fish and Chips: On the Root Causes of Co-Located Website-Fingerprinting Attacks

Published
Record updated

Summary

Researchers developed a framework to identify and measure which leakage sources drive microarchitectural website-fingerprinting attacks, which use timing information to reveal a victim's browsing from a co-resident attacker. Testing three published attacks, they identified four leakage classes: core contention, interrupts, frequency scaling, and cache eviction. They showed that controlling these sources can completely mitigate leakage, and that each source alone still leaks enough for fingerprinting. Correlation analysis between source events and measured timing quantified each source's relative contribution.