cesnet-datazoo and cesnet-models
The models for network traffic classification provided by CESNET Models are designed to be used in conjunction with the large network traffic datasets and toolset offered by CESNET DataZoo.
About cesnet-datazoo
CESNET/cesnet-datazoo
CESNET DataZoo: A toolset for large network traffic datasets
This tool provides a structured way to access and prepare large datasets of encrypted network traffic, specifically focusing on TLS and QUIC protocols. It helps network researchers and data scientists define training, validation, and test periods, select specific application classes, and apply data transformations. The output is ready-to-use dataframes for building and evaluating traffic classification models.
About cesnet-models
CESNET/cesnet-models
CESNET Models: Neural networks for network traffic classification
This project offers pre-trained neural networks to automatically identify and categorize different types of network traffic, even when encrypted. It takes raw network data or traffic flows as input and outputs classifications like 'video streaming,' 'gaming,' or 'file transfer.' Network administrators, security analysts, and researchers focused on network behavior would find this useful for monitoring and security.
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