: Designing and evaluating algorithms to identify specific web services (like Netflix or WhatsApp) even when encrypted.
: Training models to detect malicious traffic or "unknown" services that differ from baseline behavior. 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. : Designing and evaluating algorithms to identify specific
: Contains QUIC user agents and version identifiers, enabling studies on large-scale QUIC deployment and device recognition. Primary Research Applications : Contains QUIC user agents and version identifiers,
: Includes traffic from various operating systems, web browsers, and mobile devices, providing highly realistic, "organic" network behavior compared to lab-generated data. Key Features and Metadata
: Collected from 100 Gbps backbone lines of a large ISP connecting roughly 500 institutions and half a million users.