Binary Classification on NSL-KDD
85.4Binary AccuracyWCGAN-GP
Evaluation results
| Method | Links | |
|---|---|---|
| WCGAN-GPIDS model=CNN-BiLSTM2026.03 | 85.4 | |
| GMA-SAWGAN-GPIDS model=LSTM2026.03 | 84.6 | |
| GMA-SAWGAN-GPIDS model=CNN-BiLSTM2026.03 | 84.4 | |
| WCGAN-GPIDS model=CNN2026.03 | 83.7 | |
| GMA-SAWGAN-GPIDS model=CNN-LSTM2026.03 | 82.9 | |
| WCGAN-GPIDS model=CNN-LSTM2026.03 | 82.6 | |
| GMA-SAWGAN-GPIDS model=CNN2026.03 | 81.8 | |
| TMG-GANIDS model=LSTM2026.03 | 81.5 | |
| DAE-GANIDS model=DNN2026.03 | 81.4 | |
| MultiCritics-WGAN-GPIDS model=CNN2026.03 | 81.1 | |
| MultiCritics-WGAN-GPIDS model=CNN-BiLSTM2026.03 | 80.6 | |
| SYN-GANIDS model=CNN2026.03 | 80.4 | |
| WCGAN-GPIDS model=DNN2026.03 | 80.4 | |
| TMG-GANIDS model=DNN2026.03 | 80.1 | |
| WCGAN-GPIDS model=LSTM2026.03 | 80 | |
| TMG-GANIDS model=CNN-BiLSTM2026.03 | 80 | |
| MultiCritics-WGAN-GPIDS model=LSTM2026.03 | 79.8 | |
| MultiCritics-WGAN-GPIDS model=DNN2026.03 | 79.6 | |
| TMG-GANIDS model=CNN2026.03 | 79.1 | |
| GMA-SAWGAN-GPIDS model=DNN2026.03 | 79 | |
| TMG-GANIDS model=CNN-LSTM2026.03 | 79 | |
| DAE-GANIDS model=CNN-BiLSTM2026.03 | 78.6 | |
| DAE-GANIDS model=CNN-LSTM2026.03 | 78.6 | |
| SYN-GANIDS model=LSTM2026.03 | 78.4 | |
| SYN-GANIDS model=DNN2026.03 | 77.8 | |
| DAE-GANIDS model=LSTM2026.03 | 77.7 | |
| SYN-GANIDS model=CNN-BiLSTM2026.03 | 77.7 | |
| MultiCritics-WGAN-GPIDS model=CNN-LSTM2026.03 | 77.6 | |
| DAE-GANIDS model=CNN2026.03 | 77.5 | |
| SYN-GANIDS model=CNN-LSTM2026.03 | 76.4 |