Datasets › UNSW-NB15
UNSW-NB15 (UNSQ-NB15)
UNSW-NB15 is a network intrusion dataset. It contains nine different attacks, includes DoS, worms, Backdoors, and Fuzzers. The dataset contains raw network packets. The number of records in the training set is 175,341 records and the testing set is 82,332 records from the different types, attack and normal.
Source: Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Image Source: https://www.unsw.adfa.edu.au/unsw-canberra-cyber/cybersecurity/ADFA-NB15-Datasets/ Paper: UNSW-NB15: a comprehensive data set for network intrusion detection systems
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Network Intrusion Detection | UNSW-NB15 | Edge-Detect-FRNN Accuracy 99.6 | Edge-Detect: Edge-centric Network Intrusion Detection... | racsa-lab/EDD | 2 | Compare |
| Synthetic Data Generation | UNSW-NB15 | kiNETGAN EMD 0.07 | KiNETGAN: Enabling Distributed Network Intrusion... | — | 2 | Compare |
| Intrusion Detection | UNSW-NB15 | MSTREAM-AE AUC 0.90 | MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams | Stream-AD/MStream | 1 | Compare |
Papers archive 2025-07-28
3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 156. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation | 0 | 2 | 26 May 2024 | not harvested |
| Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network | 1 | 2 | 3 Feb 2021 | not harvested |
| MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams | 1 | 1 | 17 Sep 2020 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- UNSW-NB15
1 variant name, as the archive lists them.
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