| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| IoT NIDS Adversarial Traffic (test) | XGBoost | Detection Rate82 | 16 | 24d ago | |
| MQTT enterprise network traffic FPA attack scenario | ASR100 | 15 | 1mo ago | ||
| UNSW-NB15 (test) | AUROC0.9717 | 7 | 3d ago | ||
| CICIDS 2017 | PARD-SSM | F1 Score98.2 | 6 | 10d ago | |
| NF-ToN-IoT (test) | Accuracy93.79 | 5 | 10d ago | ||
| NF-BoT-IoT (test) | MA-IDS | Accuracy90 | 5 | 10d ago | |
| UNSW-NB15 | PARD-SSM | F1 Score97.1 | 5 | 15d ago | |
| NSL-KDD | CNN | Accuracy99 | 5 | 1mo ago | |
| CSE-CIC-IDS2018 (test) | RSST-NIDS | AUROC88.9 | 4 | 3d ago | |
| IoT NIDS adversarial traffic | XGBoost | Detection Rate (KNN Attacker)79 | 4 | 24d ago | |
| UNSW-NB15 (unmodified) | multilayer defense mechanism | Accuracy77.71 | 3 | 1mo ago | |
| CIC-IDS 2017 (LOAO) | AUROC0.8499 | 3 | 1mo ago | ||
| NSL-KDD (LOAO) | Unsupervised (HQC) | AUROC94.86 | 3 | 1mo ago | |
| UNSW-NB15 (LOAO) | AUROC93.46 | 3 | 1mo ago | ||
| CIC-IDS 2017 (test) | AUROC0.9991 | 3 | 1mo ago | ||
| NSL-KDD (test) | Unsupervised (HQC) | AUROC96.11 | 3 | 1mo ago | |
| Various | F1 Score89.1 | 1 | 10d ago | ||
| Custom | Kitsune | F1 Score98.2 | 1 | 10d ago | |
| CTU-13 Neris | ML Defender | F1 Score99.85 | 1 | 10d ago |
