CICIDS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-class Network Intrusion Detection | CICIDS 2017 | Accuracy98.6 | 39 | |
| Binary classification | CICIDS 2017 | Binary Accuracy99.2 | 30 | |
| Binary classification | CICIDS 2017 (test) | F1-Score96.09 | 25 | |
| Anomaly Detection | CICIDS2017 | After-Attack Accuracy85.99 | 24 | |
| Network Traffic Classification | CICIDS i.i.d. settings 2017 | Accuracy99.97 | 18 | |
| Few-Shot Class Incremental Learning | CICIDS 2017 | PD43.96 | 16 | |
| Time Series Anomaly Detection | CICIDS | AUC-R82.76 | 13 | |
| Adversarial Detection | CICIDS 2017 | AUC-ROC99.8 | 12 | |
| Intrusion Detection | CICIDS18 (test) | Backward Transfer20.23 | 12 | |
| Intrusion Detection | CICIDS17 (test) | Backward Transfer7.84 | 12 | |
| Network Traffic Classification | CICIDS attack behavior shifts unseen domains 2017 (test) | Average Accuracy98.63 | 9 | |
| Network Security Threat Detection | CICIDS 2017 | Precision0.9996 | 9 | |
| Intrusion Detection | CICIDS 2017 | Accuracy99.28 | 9 | |
| Multi-class intrusion detection | CICIDS 2017 (test) | Accuracy99.6 | 6 | |
| Node-level anomaly detection | CICIDS 2017 (chronological) | ROC AUC0.9753 | 6 | |
| Network Intrusion Detection | CICIDS 2017 | F1 Score98.2 | 6 | |
| Binary Network Intrusion Detection | CICIDS 2017 | F1 Score99.6 | 5 | |
| Anomaly Detection | CICIDS DoS | AUC0.83 | 5 | |
| Intrusion Detection Classification | CICIDS Label3 skew scheme 2017 | Accuracy94.12 | 4 | |
| Threat Detection | CICIDS 2017 | Accuracy98.1 | 4 | |
| Intrusion Detection | CICIDS binary setting 2017 | Accuracy99.9889 | 3 | |
| Threat Detection | CICIDS stream 2017 (test) | TP (True Positives)15 | 3 | |
| Intrusion Detection | CICIDS EA Scenario 2018 | Backward Transfer (%)-47 | 3 | |
| Intrusion Detection | CICIDS EA Scenario 2017 | Backward Transfer5.99 | 3 | |
| Intrusion Detection | CICIDS18 | Forward Transfer43.07 | 3 |
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