Research Article
Deep Neural Network-Based Intrusion Detection System through PCA
Table 11
Five classification results of experiment 2.
| Algorithm | Evaluation criteria | Normal | DoS | Probe | R2L | U2R |
| DT | PR | 67.01 | 91.84 | 26 | 71.49 | 52 | DR | 95.31 | 84.18 | 0.41 | 61.99 | 4 | FAR | 34.38 | 3.15 | 0.16 | 2.62 | 0.04 |
| EDF | AC | 91.62 | 98.9 | 88.15 | 59.59 | 15.39 | CNN | AC | 92.56 | 98.47 | 92.58 | 35.5 | 26.56 |
| PCA-DNN | PR | 64.78 | 95.62 | 96.67 | 82.45 | 0 | DR | 98.19 | 75.48 | 16.08 | 67.5 | 0 | FAR | 39.24 | 1.51 | 0.08 | 1.70 | 0 |
| DT-PCA-DNN | PR | 71 | 92.21 | 91.09 | 78.92 | 0 | DR | 98.81 | 83.26 | 36.95 | 61.66 | 0 | FAR | 26.11 | 4.1 | 0.39 | 1.5 | 0 |
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