Traffic Detection on ISCX Tor 2016
90.89AccuracyTraffic-MoE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Traffic-MoEparadigm=Pre-training and Fine-tuning2026.01 | 90.89 | 89.42 | 78.79 | 80.72 | |
| AppScannerparadigm=Machine Learning (ML)2026.01 | 86.9 | 79.21 | 70.54 | 72.54 | |
| NetGPTparadigm=Pre-training and Fine-tuning2026.01 | 85.06 | 73.42 | 68.05 | 65.83 | |
| TrafficFormerparadigm=Pre-training and Fine-tuning2026.01 | 79.75 | 60.83 | 59.84 | 54.28 | |
| ET-BERTparadigm=Pre-training and Fine-tuning2026.01 | 79.32 | 40.93 | 46.77 | 43.03 | |
| FS-Netparadigm=Deep Learning (DL)2026.01 | 66.79 | 20.08 | 25.27 | 21.61 | |
| FlowPrintparadigm=Machine Learning (ML)2026.01 | 41.27 | 19.07 | 25.95 | 17.38 |