{
 "id": "keys-i/netFlow",
 "owner": "keys-i",
 "name": "netFlow",
 "downloads": 250,
 "likes": 0,
 "last_modified": "2026-08-15T21:36:01.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "uq-open-access-data-terms",
 "licence_link": "https://web.library.uq.edu.au/research-and-publish/manage-research-data/share-and-reuse-research-data",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-classification"
 ],
 "citation": "@article{luay2026time,\n  author  = {Majed Luay and Siamak Layeghy and Niloufar Noorbin and\n             Mohanad Sarhan and Gayan Kulatilleke and Nour Moustafa and\n             Marius Portmann},\n  title   = {Time Matters: Temporal NetFlow Features for ML-Based Network\n             Intrusion Detection},\n  journal = {IEEE Access},\n  volume  = {14},\n  pages   = {66899--66913},\n  year    = {2026},\n  doi     = {10.1109/ACCESS.2026.3688204}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "59b97b2fa47e2ce45488812289c83adefe877355",
 "stated_evidence": "https://huggingface.co/datasets/keys-i/netFlow/blob/59b97b2fa47e2ce45488812289c83adefe877355/README.md",
 "file_evidence": "https://huggingface.co/datasets/keys-i/netFlow/tree/59b97b2fa47e2ce45488812289c83adefe877355",
 "card_nc": false
}