Yangnan Guo
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126
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2026
ActiveFlowMark: Assessing Tor Anonymity under Active Bandwidth Watermarking
This paper introduces an active traffic analysis method (NATA) and a deep learning framework (BM-Net) to demonstrate that bandwidth perturbations can be used by an adversary to correlate and de-anonymize Tor traffic flows.
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cs.CRRecentMay 7, 2026
ActiveFlowMark: Assessing Tor Anonymity under Active Bandwidth Watermarking
Zilve Fan, Zijian Zhang, Yangnan Guo, Jiaqi Gao +4 more
This paper introduces an active traffic analysis method (NATA) and a deep learning framework (BM-Net) to demonstrate that bandwidth perturbations can be used by an adversary to correlate and de-anonym…
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