CESNET DataZoo: Large-Scale Encrypted Network Traffic for Classification

CESNET DataZoo provides large-scale network traffic datasets and tools for machine learning, maintained by the CESNET organization and updated as of March 2026. The collection focuses on encrypted-traffic labels and traffic-classification features for deep learning research.

Use Cases

• Classification of encrypted-traffic using flow-based features
• Training deep-learning models for traffic-classification tasks
• Benchmarking network-protocols identification algorithms

Strengths

• Maintained by CESNET research organization
• BSD-3-Clause open-source license
• Specifically targets encrypted traffic classification

Limitations

• Specific record counts and column schemas are not explicitly listed in the metadata
• Requires use of the DataZoo toolset for full data access

Provenance

Source

CESNET

Collection Method

network sensor

Freshness

Updated as of March 2026.