Research Article
Deep-Feature-Based Autoencoder Network for Few-Shot Malicious Traffic Detection
Table 3
Experiments results of dataset USTC-TFC2016.
| Methods | With unknown categories | Known categories | Recall | Precision | Macro-f1 | Recall | Precision | Macro-f1 |
| Similarity measure | 0.4525 | 0.4502 | 0.4514 | 0.2693 | 0.2630 | 0.2660 | K-means cluster | 0.7965 | 0.6003 | 0.5557 | 0.6535 | 0.6861 | 0.5465 | AE | 0.8105 | 0.9654 | 0.8692 | 0.8573 | 0.9050 | 0.8751 | CNN with AE | 0.8765 | 0.8410 | 0.8576 | 0.9565 | 0.9675 | 0.9617 | DFAE | 0.9552 | 0.9675 | 0.9613 | 0.9983 | 0.9965 | 0.9973 |
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