Research Article
GCN-ETA: High-Efficiency Encrypted Malicious Traffic Detection
Table 5
Test accuracy (%),
(%), AUC (%), and
after 5-fold cross-validation.
| Model | Accuracy | | AUC | |
| LR | 73.55 ± 0.39 | 76.18 ± 0.22 | 73.55 ± 0.26 | 58994 | BernoulliNB | 79.86 ± 0.44 | 80.31 ± 0.43 | 79.85 ± 0.47 | 129224 | DT | 83.26 ± 0.67 | 83.81 ± 0.68 | 83.24 ± 0.50 | 2061 | XGBoost | 86.39 ± 0.26 | 87.10 ± 0.24 | 86.39 ± 0.85 | 111 | nnDPI | 65.31 ± 0.35 | 69.03 ± 0.33 | 65.80 ± 0.16 | <1 | GCN-TC | 83.12 ± 0.70 | 83.34 ± 0.46 | 83.55 ± 0.97 | 28 | GCN + XGBoost | 97.65 ± 0.33 | 97.63 ± 0.33 | 97.52 ± 0.80 | 68 | GCN + RF | 98.61 ± 0.11 | 98.59 ± 0.11 | 98.34 ± 0.85 | 70 | GCN + KNN | 97.37 ± 0.29 | 97.36 ± 0.29 | 96.94 ± 0.83 | 71 | GCN + DT | 98.38 ± 0.07 | 98.37 ± 0.17 | 98.02 ± 0.94 | 72 | GCN-ETA | 98.65 ± 0.09 | 98.63 ± 0.09 | 98.59 ± 0.65 | 1333 |
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