IoT/IoMT Attack Detection on CICIoMT 2024 (test)
97.69AccuracyET-BERT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ET-BERTparadigm=Pre-training and Fine-tuning2026.01 | 97.69 | 56.2 | 52.71 | 52.55 | |
| Traffic-MoEparadigm=Pre-training and Fine-tuning2026.01 | 97.69 | 88.49 | 88.6 | 88.39 | |
| NetGPTparadigm=Pre-training and Fine-tuning2026.01 | 89.58 | 83.26 | 83.35 | 83 | |
| TrafficFormerparadigm=Pre-training and Fine-tuning2026.01 | 89.12 | 75.72 | 78.35 | 75.3 | |
| AppScannerparadigm=Machine Learning (ML)2026.01 | 69.29 | 74.73 | 67.83 | 63.97 | |
| FS-Netparadigm=Deep Learning (DL)2026.01 | 57.88 | 53.19 | 50.5 | 45.33 | |
| FlowPrintparadigm=Machine Learning (ML)2026.01 | 1.32 | 3.73 | 13.64 | 5.01 |