2023-dahanayaka-robust-open-set-classification
Robust open-set classification for encrypted traffic fingerprinting
canonical link → · doi: 10.1016/j.comnet.2023.109991
Team notes
Auto-ingested via corpus-crawl. Tags proposed by Claude Haiku 4.5; review and tighten before relying. Understanding traffic fingerprinting is critical for circumvention protocol designers to evade detection by censors using statistical traffic analysis.