CipherSight: Robust Website Fingerprinting via Record-Resource Semantic Supervision under Distribution Shifts
HTTPS website fingerprinting (WF) aims to identify visited websites from metadata observable in encrypted traffic. However, real-world deployments introduce a significant out-of-distribution (OOD) problem caused by temporal and geographic changes, while previously unseen websites are common in open-world scenarios. Existing methods primarily learn from raw TCP packet sequences and struggle to capture stable and generalizable website representations, resulting in performance degradation under practical conditions. We propose CipherSight, a TLS-record-based hierarchical framework for robust HTTPS WF. Unlike existing approaches that rely on TCP packet sequences and are sensitive to transport...
| Authors | Runhan Song, Qiqi Liu, Chuanzhou Pan et al. |
|---|---|
| Primary category | cs.CR |
| Published | 14 August 2026 |
| Last updated at source | 14 August 2026 |
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