CESNET/cesnet-tcexamples
Jupyter notebooks with traffic classification examples using CESNET DataZoo and CESNET Models packages
This project offers practical examples for classifying internet traffic, helping network engineers understand what kind of applications or services are generating network activity. It takes raw network data (like packet captures or flow records) and provides insights into specific traffic types, such as TLS or QUIC. Network security analysts or network administrators can use these examples to detect anomalies, identify applications, or reproduce research findings in traffic classification.
Use this if you need concrete examples and code to classify encrypted or unencrypted network traffic data and understand its characteristics.
Not ideal if you are looking for a plug-and-play network monitoring tool without needing to dive into data science or machine learning examples.
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Jupyter Notebook
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Last pushed
Mar 03, 2026
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