Research Article
Recurrent Neural Network Model Based on a New Regularization Technique for Real-Time Intrusion Detection in SDN Environments
Table 2
Comparison of detection performance.
| Algorithms | Legitimate class | Anomaly class | Pr (%) | TPR (%) | F-Score (%) | Pr (%) | TPR (%) | F-Score (%) |
| Our work (KDD Cup 1999) | 94.3 | 99.5 | 93.01 | 95 | 96 | 92.21 | Our work (NSL-KDD) | 92.2 | 97.43 | 91 | 94.57 | 93.5 | 91.13 | Our work (UNSW-NB15) | 93.5 | 98.4 | 94.03 | 95.2 | 97.01 | 92.3 | VanilaRNN | 43 | 90 | 58 | 57 | 10 | 17 | SVM | 71 | 32 | 44 | 64 | 90 | 75 | DNN | 67 | 89 | 76 | 88 | 66 | 76 | GRU-DNN | 87 | 89 | 88 | 91 | 90 | 90 |
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