license: cc-by-4.0
tags:
- network-traffic
- time-series
- anomaly-detection
size_categories:
- 100M<n<1B
CESNET-TimeSeries24 — verbatim Zenodo archives
A faithful mirror of CESNET-TimeSeries24 (DOI 10.5281/zenodo.13382427): per-IP aggregate time series from 40 weeks of CESNET backbone monitoring — 275k+ IP addresses, 548 institution subnets, 283 institutions, at 10-minute / 1-hour / 1-day windows, derived from 66 billion flows.
These are the upstream tar.gz archives, byte-identical, not a conversion. Unlike the flow corpora published alongside this mirror, TimeSeries24 holds aggregates, not flow records — mapping it onto a flow schema would fabricate flows that were never measured. It is published here unmodified so the whole training corpus lives in one place; a dedicated time-series loader is the right way to consume it.
| file | GB |
|---|---|
| ip_addresses_full.tar.gz | 40.0 |
| institution_subnets.tar.gz | 0.77 |
| institutions.tar.gz | 0.48 |
| ip_addresses_sample.tar.gz | 0.17 |
| ids_relationship.csv / times.tar.gz / weekends_and_holidays.csv | <0.01 |
Archives contain one CSV per time-series ID (metrics: n_flows, n_packets, n_bytes, n_dest_ip, n_dest_asn, n_dest_ports, tcp_udp_ratio_*, dir_ratio_*, avg_duration, avg_ttl; the 1h/1d re-aggregations carry sum_/avg_/std_
variants). ts24-manifest.json records the download provenance.
Licensing & citation
Source dataset © CESNET, CC-BY-4.0; mirrored under the same license. Cite: Koumar, J. et al., CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting, Scientific Data 12:338 (2025). https://doi.org/10.1038/s41597-025-04603-x