SWaT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | SWaT | F1 Score99.89 | 276 | |
| Multivariate Time Series Anomaly Detection | SWaT | F1 Score98.36 | 43 | |
| Anomaly Detection | SWaT (test) | Precision0.9962 | 34 | |
| Time Series Anomaly Detection | SWaT (test) | Affiliation Precision62.76 | 25 | |
| Time Series Anomaly Detection | SWaT | CCE-2.02 | 20 | |
| Attack Detection | SWaT Malicious Controller Output Injection (test) | F1 Score99.8 | 20 | |
| Time Series Anomaly Detection | SWaT | VUS-ROC0.7991 | 20 | |
| Time Series Anomaly Detection | SWaT | F1-score94.8 | 16 | |
| Anomaly Detection | SWaT 45 (test) | F1 Score94.23 | 16 | |
| Time Series Anomaly Detection | SWaT | AUC-R83.31 | 13 | |
| Time-Series Anomaly Detection | SWAT | F10.695 | 12 | |
| Time Series Anomaly Detection | SWaT | RF10.33 | 12 | |
| Time Series Anomaly Detection | SWaT | Affiliation-F176.18 | 11 | |
| Anomaly Detection | SWaT | Training Time (s/epoch)0.87 | 11 | |
| Attack Detection | SWaT Controller Configuration Tampering Attack (test) | F199.55 | 10 | |
| Anomaly Detection | SWAT Time Series | F1 (Point Adjustment)94.55 | 9 | |
| Multivariate Time Series Anomaly Detection | SWaT 55d | Precision98.7 | 8 | |
| Anomaly localization | SWaT (test) | IPS@10016 | 7 | |
| Multi-class attack detection | SWaT 36 scenarios (test) | Normal Precision97.3 | 6 | |
| Anomaly Detection | SWaT 60/20/20 split (test) | AUC-ROC0.796 | 6 | |
| Attack Taxonomy Discrimination | SWaT | MMD^20.038 | 5 | |
| Anomaly Detection | SWaT Physical-level 2015 | F1 Score77 | 5 | |
| Anomaly detection | SWaT | VUS0.88 | 5 | |
| Anomaly Detection | SWaT | Detection Rate100 | 4 | |
| Disruption mitigation and resilience evaluation | SWaT 36 Attacks (test) | D_rel100 | 4 |
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