Hybrid CNN-LSTM model results on the typical CIC-DDoS2019 dataset
| Metrics | CNN-BRS [16] | Bays-CNN [17] | CNN-WRS [18] | Cybernet [19] | CNN-LSTM |
|---|---|---|---|---|---|
| Accuracy | 99.99% | 99.90% | 95.76% | 99.99% | 99.98% |
| Recall | 99.99% | 98.90% | 99.84% | 99.99% | 99.98% |
| Precision | 99.99% | 99.70% | 95.87% | 99.99% | 99.98% |
| F1-Score | 99.99% | 99.29% | 95.95% | 99.99% | 99.98% |
| MCC | 99.93% | 98.59% | 29.64% | 99.98% | 99.70% |
| Metrics | CNN-BRS [ | Bays-CNN [ | CNN-WRS [ | Cybernet [ | CNN-LSTM |
|---|---|---|---|---|---|
| Accuracy | 99.99% | 99.90% | 95.76% | 99.99% | |
| Recall | 99.99% | 98.90% | 99.84% | 99.99% | |
| Precision | 99.99% | 99.70% | 95.87% | 99.99% | |
| F1-Score | 99.99% | 99.29% | 95.95% | 99.99% | |
| MCC | 99.93% | 98.59% | 29.64% | 99.98% |
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