LATIDIA · Ciberseguridad

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

arXiv: 2610.07776v1Tipo de anuncio: nuevo Resumen: La huella digital del sitio web infiere los sitios web visitados por los usuarios a partir de metadatos de tráfico cifrados. Sin embargo, los modelos entrenados en condiciones de recolección fijas a menudo se degradan como redes

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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. Existing transferable attacks either rely on handcrafted perturbations of individual traces or adapt language-oriented architectures to traffic, limiting their ability to capture traffic-native semantics. To address these limitations, we propose SCSM, a traffic-native foundation model for transferable website fingerprinting. Specifically, SCSM constructs pairs of pretraining views from the same group of unlabeled traces through Segmentation, Combination, Scaling, and Masking. These operations produce diverse observable patterns while preserving the underlying packet events and local