Kisx_2022_5k.zip Here

: Designing and evaluating algorithms to identify specific web services (like Netflix or WhatsApp) even when encrypted.

: 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

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

: Sequences of packet sizes and inter-arrival times, which are standard for analyzing encrypted traffic without decryption.

The contents of a file like KisX_2022_5K.zip typically include specialized flow information: : Designing and evaluating algorithms to identify specific

: Collected from 100 Gbps backbone lines of a large ISP connecting roughly 500 institutions and half a million users.

: Training models to detect malicious traffic or "unknown" services that differ from baseline behavior. : Sequences of packet sizes and inter-arrival times,

: The full dataset identifies 102 service classes (e.g., streaming, chat, file transfer) and three background classes for out-of-distribution (OOD) detection.