CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines

K Hynek, J Luxemburk, J Pešek, T Čejka, P Šiška - Scientific Data, 2024 - nature.com
The modern approach for network traffic classification (TC), which is an important part of
operating and securing networks, is to use machine learning (ML) models that are able to …

CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting

J Koumar, K Hynek, T Čejka, P Šiška - arXiv preprint arXiv:2409.18874, 2024 - arxiv.org
Anomaly detection in network traffic is crucial for maintaining the security of computer
networks and identifying malicious activities. One of the primary approaches to anomaly …

Zlepšení efektivity flow cache v aplikaci exportéru síťových toků

Z Damir - 2024 - dspace.cvut.cz
Tato práce je věnována optimalizaci v současnosti používaného open-source programu pro
monitorování sítě--ipfixprobe vyvinutého primárně sdružením CESNET, přesněji řečeno jeho …

[PDF][PDF] NEURAL NETWORKS AT THE LEVEL OF NETWORK PACKETS AND FLOWS

P URBÁNEK - theses.cz
This thesis addresses the integration of neural networks into network flow monitoring,
particularly focusing on the ipfixprobe—an open-source network flow exporter developed by …