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lacg030175/UNSW-NB15

UNSW-NB15 Network Intrusion Detection Dataset The UNSW-NB15 dataset for network intrusion detection, provided with two evaluation protocols to enable fair comparison across the literature. Why This Dataset Exists Published results on UNSW-NB15 range from 85% to 99% accuracy — but the gap is almost entirely due to evaluation protocol differences, not model quality: Evaluation Protocol Typical Accuracy Example Papers Standard split (temporal, 175K/82K)… See the full description on the dataset page: https://huggingface.co/datasets/lacg030175/UNSW-NB15.

Author / organizationlacg030175
License (as declared)cc-by-4.0
Downloads668 (as reported by Hugging Face)
Likes0
Created9 March 2026
Last updated at source13 April 2026
network-intrusion-detectioncybersecurityUNSW-NB15IDSbinary-classificationmulti-class-classification
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  • 17 Oct 2026 Description: UNSW-NB15 Network Intrusion Detection Dataset The UNSW-NB15 dataset for network intrusion detection, provided with two evaluation protocols to enable fair comparison across the literature. Why This Dataset Exists Published results on UNSW-N → UNSW-NB15 Network Intrusion Detection Dataset The UNSW-NB15 dataset for network intrusion detection, provided with two evaluation protocols to enable fair comparison across the literature. Why This Dataset Exists Published results on UNSW-N

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