NSL-KDD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multiclass Classification | NSL-KDD | Accuracy83.13 | 36 | |
| Binary classification | NSL-KDD | Binary Accuracy85.4 | 30 | |
| Synthetic Data Utility | NSL-KDD | Accuracy99.99 | 25 | |
| Multi-classification | NSL-KDD (test) | Accuracy (Multi-class)85.9 | 12 | |
| Binary Classification | NSL-KDD (test) | Accuracy (Binary)83.3 | 12 | |
| Network Intrusion Detection | NSL-KDD | Accuracy99 | 11 | |
| Intrusion Detection | NSL-KDD (test) | Recall99.2 | 11 | |
| Threat Detection | NSL-KDD | Accuracy97.2 | 11 | |
| Binary classification | NSL-KDD 2009 (test) | P-Value0.001 | 8 | |
| Anomaly Detection | NSL-KDD | Inference Latency (µs/sample)251.97 | 6 | |
| Network Anomaly Detection | NSL-KDD | Accuracy87.56 | 5 | |
| Classification | NSL-KDD | Accuracy99.4 | 5 | |
| Multiclass Classification | NSL-KDD Augmented with CTGAN data | Accuracy0.9993 | 5 | |
| Multiclass Classification | Poisoned NSL-KDD (train) | Accuracy0.537 | 5 | |
| Multiclass Classification | NSL-KDD zero-day attack (test) | Accuracy0.827 | 5 | |
| Multiclass Classification | NSL-KDD Original | Accuracy0.9992 | 5 | |
| Federated Learning | NSL-KDD | Accuracy95.8 | 5 | |
| Network Attack Detection | NSL-KDD (test) | Accuracy98.24 | 4 | |
| Tabular Data Synthesis | NSL-KDD (test) | Detectability95.43 | 3 | |
| Network Intrusion Detection | NSL-KDD (LOAO) | AUROC94.86 | 3 | |
| Network Intrusion Detection | NSL-KDD (test) | AUROC96.11 | 3 | |
| Network Intrusion Detection | NSL-KDD 2009 | F1-macro91.35 | 2 | |
| Intrusion Detection | NSL-KDD | P-Value0.6183 | 1 |
Showing 23 of 23 rows