Encrypted Traffic Classification on CrossPlatform iOS
99AccuracyMMAE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MMAEparadigm=Masked Autoencoder2026.03 | 99 | 98.72 | 99 | 98.81 | |
| NetMambaparadigm=Mamba-based2026.03 | 98.81 | 98.85 | 98.81 | 98.81 | |
| YaTCparadigm=Transformer-based2026.03 | 93.1 | 93.07 | 93.1 | 92.95 | |
| ET-BERTparadigm=Transformer-based2026.03 | 91.05 | 88.09 | 91.05 | 88.5 | |
| FlowPrintparadigm=Traditional Machine Learning2026.03 | 87.12 | 86.87 | 87.12 | 86.03 | |
| TrafficFormerparadigm=Transformer-based2026.03 | 56.79 | 49.66 | 46.97 | 46.89 | |
| AppScannerparadigm=Traditional Machine Learning2026.03 | 17.18 | 14 | 14.4 | 12.83 | |
| FS-Netparadigm=CNN-based2026.03 | 2.93 | 0.14 | 2.93 | 0.25 |