SCSM: A Traffic-Native Foundation Model for Transferable Website Fingerprinting

Reported by arXiv cs.CR (Xianwen Deng, Ruijie Zhao, Mingwei Zhan, Yijun Wang, Zhi Xue)

Summary by Cyber Security News7 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.07776

arXiv:2610.07776v1 Announce Type: new Abstract: Website fingerprinting infers the websites visited by users from encrypted traffic metadata. However, models trained under fixed collection conditions often degrade as website sets, collection times, network paths, browsers, or defenses change.

Read the full article at arXiv cs.CR →

Source attribution: headline and facts are from arXiv cs.CR (arxiv.org). Summary method: excerpt of the source description. See our source attribution policy.

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