Research Article
Oversampling Imbalanced Data Based on Convergent WGAN for Network Threat Detection
Table 2
Details of the data sets.
| Data sets | Component | Number of features | Number of samples (normal/abnormal) | IR |
| D1 | Benign/malware | 79 | 2709/1500 | 1.81 | D2 | Benign/defacement | 79 | 2709/1300 | 2.08 | D3 | Benign/malware | 79 | 2709/1000 | 2.71 | D4 | Benign/defacement | 79 | 2709/800 | 3.39 | D5 | Benign/defacement | 79 | 2709/500 | 5.42 | D6 | Benign/spam | 79 | 2709/300 | 9.03 | D7 | Benign/spam | 79 | 2709/140 | 19.35 | D8 | Benign/defacement | 79 | 2709/54 | 50.17 |
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