: 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
: Designing and evaluating algorithms to identify specific web services (like Netflix or WhatsApp) even when encrypted.
The dataset is a critical resource for researchers studying modern web protocols, encrypted traffic analysis, and machine learning-based network monitoring. KisX_2022_5K.zip
: Using client-specific QUIC headers to identify operating systems or specific device types.
: Sequences of packet sizes and inter-arrival times, which are standard for analyzing encrypted traffic without decryption. : Includes traffic from various operating systems, web
The contents of a file like KisX_2022_5K.zip typically include specialized flow information:
: Training models to detect malicious traffic or "unknown" services that differ from baseline behavior. : Using client-specific QUIC headers to identify operating
: Collected from 100 Gbps backbone lines of a large ISP connecting roughly 500 institutions and half a million users.