: Using client-specific QUIC headers to identify operating systems or specific device types.
: Tracking traffic distribution drift and the degradation of classifier accuracy over time. KisX_2022_5K.zip
: Training models to detect malicious traffic or "unknown" services that differ from baseline behavior. : Using client-specific QUIC headers to identify operating
: The full dataset identifies 102 service classes (e.g., streaming, chat, file transfer) and three background classes for out-of-distribution (OOD) detection. KisX_2022_5K.zip
"KisX_2022_5K.zip" appears to be a specific data distribution—likely a subset or version—of the dataset, a massive repository of real-world QUIC network traffic collected from an ISP backbone.