Encrypted Traffic Classification on ISCX-Tor 2016
100AccuracyMMAE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MMAE2026.03 | 100 | 100 | 100 | 100 | |
| NetMamba2026.03 | 99.93 | 99.93 | 99.93 | 99.93 | |
| ET-BERT2026.03 | 99.8 | 99.81 | 99.8 | 99.8 | |
| YaTC2026.03 | 99.59 | 99.59 | 99.59 | 99.59 | |
| MLETC2026.03 | 99.48 | 97.78 | 99.54 | 98.65 | |
| TrafficMoE2026.03 | 97.65 | 97.68 | 97.65 | 97.65 | |
| FlowletFormer2026.03 | 92.15 | 92.63 | 90.43 | 91.16 | |
| FlowletFormer2026.03 | 92.15 | 92.63 | 90.43 | 91.16 | |
| YaTC2026.03 | 91.75 | 77.25 | 73.33 | 74.05 | |
| AppScanner2026.03 | 90.75 | 77.28 | 80.33 | 78.48 | |
| BIND2026.03 | 90.1 | 85.82 | 83.54 | 84.39 | |
| TrafficFormer2026.03 | 86.69 | 75.45 | 74.6 | 74.72 | |
| TrafficFormer2026.03 | 86.69 | 75.45 | 74.6 | 74.72 | |
| ET-BERT2026.03 | 81.23 | 72.49 | 82.76 | 74.53 | |
| GraphDApp2026.03 | 79.49 | 63.91 | 64.1 | 63.83 | |
| CUMUL2026.03 | 77.25 | 64.63 | 64.43 | 64.01 | |
| DF2026.03 | 74.01 | 59.18 | 56.11 | 54.92 | |
| FS-Net2026.03 | 70.2 | 70.1 | 70.2 | 69.99 | |
| FSNet2026.03 | 69.67 | 61.59 | 60.61 | 60.28 | |
| AppScanner2026.03 | 40.34 | 28.5 | 21.49 | 21.13 | |
| Beauty2026.03 | 37.46 | 26.91 | 27.67 | 22.51 | |
| FlowPrint2026.03 | 13.16 | 1.73 | 13.16 | 3.06 |