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Machine Learning in Traffic Correlation

Using machine learning for traffic-correlation attacks

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Jan 20, 2026
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How do traffic-correlation and boundary-monitoring attacks technically work and what countermeasures exist for Tor users?

Traffic-correlation (end-to-end) and boundary-monitoring attacks identify who is communicating through Tor by statistically matching traffic patterns observed near the client (entry) and near the dest...

Feb 2, 2026

How do investigators use traffic-correlation attacks to deanonymize Tor users?

attacks deanonymize users by observing patterns at both the network’s ingress (guard) and egress (exit) points and statistically linking those patterns to reveal which client corresponds to which dest...

Jan 14, 2026

How does traffic correlation attack work against Tor and how feasible is it for state actors?

Traffic correlation (aka traffic confirmation) links a Tor user to their destination by matching timing and volume patterns observed at the network's entry and exit points, and remains one of the fund...