Encrypted Traffic Classification on CrossPlatform Android
98.97Accuracy (AC)MMAE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MMAEparadigm=Masked Autoencoder2026.03 | 98.97 | 98.98 | 98.97 | 98.93 | |
| NetMambaparadigm=Mamba-based2026.03 | 98.69 | 98.71 | 98.69 | 98.64 | |
| ET-BERTparadigm=Transformer-based2026.03 | 93.86 | 94.51 | 93.86 | 94.01 | |
| YaTCparadigm=Transformer-based2026.03 | 90.42 | 90.81 | 90.42 | 90.42 | |
| FlowPrintparadigm=Traditional Machine Learning2026.03 | 87.39 | 89.41 | 87.39 | 87 | |
| TrafficFormerparadigm=Transformer-based2026.03 | 76.64 | 64.35 | 62.04 | 61.67 | |
| AppScannerparadigm=Traditional Machine Learning2026.03 | 16.26 | 16.46 | 14.56 | 14.13 | |
| FS-Netparadigm=CNN-based2026.03 | 1.47 | 0.23 | 1.47 | 0.34 |