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Index/Topics/Machine Learning in Traffic Correlation

Machine Learning in Traffic Correlation

The use of machine learning to improve the accuracy of traffic-correlation attacks against Tor.

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2 results
Jan 20, 2026

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...

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...