Research Article
Network Intrusion Detection Method Based on FCWGAN and BiLSTM
Table 11
Comparison of classification algorithms on NSL-KDD dataset.
| Algorithm | Evaluation metrics | Accuracy | Precision | Recall | F1-score | Time (s) |
| FCWGAN-RF | 91.29 ± 0.27 | 90.24 ± 0.29 | 89.11 ± 0.21 | 89.67 ± 0.24 | 1 | FCWGAN-DNN | 95.11 ± 0.23 | 96.01 ± 0.22 | 94.98 ± 0.17 | 95.00 ± 0.19 | 2 | FCWGAN-LSTM | 98.29 ± 0.23 | 98.37 ± 0.21 | 98.14 ± 0.15 | 98.25 ± 0.18 | 2 | Model in this paper | 99.57 ± 0.21 | 99.55 ± 0.20 | 99.47 ± 0.17 | 99.51 ± 0.18 | 2 |
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