Traffic Detection on ISCXTor NonTor 2016
98.27AccuracyTraffic-MoE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Traffic-MoEparadigm=Pre-training and Fine-tuning2026.01 | 98.27 | 92.22 | 87.07 | 89 | |
| NetGPTparadigm=Pre-training and Fine-tuning2026.01 | 96.55 | 84.79 | 79.11 | 81.34 | |
| ET-BERTparadigm=Pre-training and Fine-tuning2026.01 | 96.53 | 83.22 | 77.06 | 79.6 | |
| TrafficFormerparadigm=Pre-training and Fine-tuning2026.01 | 95.54 | 76.63 | 75.96 | 74.18 | |
| AppScannerparadigm=Machine Learning (ML)2026.01 | 94.68 | 85.87 | 69.34 | 74.36 | |
| FS-Netparadigm=Deep Learning (DL)2026.01 | 94.06 | 78.41 | 65.18 | 69.72 | |
| FlowPrintparadigm=Machine Learning (ML)2026.01 | 92.13 | 74.08 | 72.45 | 71.38 |