Research Article
Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering
Table 4
Model training and validation of 1D Convolutional Neural Network (binary classification).
| Epoch | Accuracy | Loss | Validation accuracy | Validation loss |
| 1 | 0.91 | 0.19 | 0.95 | 0.03 | 2 | 0.92 | 0.18 | 0.96 | 0.03 | 3 | 0.93 | 0.18 | 0.97 | 0.03 | 4 | 0.94 | 0.17 | 0.98 | 0.023 | 5 | 0.97 | 0.17 | 0.99 | 0.021 | 6 | 0.98 | 0.15 | 0.991 | 0.002 | 7 | 0.992 | 0.13 | 0.992 | 0.0019 | 8 | 0.994 | 0.12 | 0.993 | 0.0018 | 9 | 0.995 | 0.12 | 0.997 | 0.0017 | 10 | 0.995 | 0.12 | 0.998 | 0.0016 | 11 | 0.995 | 0.12 | 0.998 | 0.0012 |
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