Multi-classification on UNSW-NB15
89.4M.Acc (%)GMA-SAWGAN-GP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GMA-SAWGAN-GPIDS model=CNN2026.03 | 89.4 | — | — | |
| MultiCritics-WGAN-GPIDS model=CNN2026.03 | 88.7 | — | — | |
| DAE-GANIDS model=CNN2026.03 | 88.6 | — | — | |
| TMG-GANIDS model=CNN2026.03 | 88.1 | — | — | |
| DAE-GANIDS model=DNN2026.03 | 87.8 | — | — | |
| GMA-SAWGAN-GPIDS model=CNN-BiLSTM2026.03 | 87.6 | — | — | |
| WCGAN-GPIDS model=DNN2026.03 | 87.5 | — | — | |
| WCGAN-GPIDS model=LSTM2026.03 | 87.5 | — | — | |
| TMG-GANIDS model=CNN-LSTM2026.03 | 87.5 | — | — | |
| WCGAN-GPIDS model=CNN2026.03 | 87.3 | — | — | |
| SYN-GANIDS model=CNN2026.03 | 86.6 | — | — | |
| GMA-SAWGAN-GPIDS model=CNN-LSTM2026.03 | 86.4 | — | — | |
| WCGAN-GPIDS model=CNN-LSTM2026.03 | 86.1 | — | — | |
| GMA-SAWGAN-GPIDS model=DNN2026.03 | 85.7 | — | — | |
| MultiCritics-WGAN-GPIDS model=CNN-LSTM2026.03 | 85.6 | — | — | |
| TMG-GANIDS model=DNN2026.03 | 85.2 | — | — | |
| TMG-GANIDS model=LSTM2026.03 | 85.1 | — | — | |
| GMA-SAWGAN-GPIDS model=LSTM2026.03 | 85.1 | — | — | |
| SYN-GANIDS model=LSTM2026.03 | 84.9 | — | — | |
| DAE-GANIDS model=LSTM2026.03 | 83.9 | — | — | |
| SYN-GANIDS model=DNN2026.03 | 83.3 | — | — | |
| MultiCritics-WGAN-GPIDS model=DNN2026.03 | 83.3 | — | — | |
| TMG-GANIDS model=CNN-BiLSTM2026.03 | 83 | — | — | |
| SYN-GANIDS model=CNN-LSTM2026.03 | 82.8 | — | — | |
| WCGAN-GPIDS model=CNN-BiLSTM2026.03 | 82.6 | — | — | |
| MultiCritics-WGAN-GPIDS model=LSTM2026.03 | 82.4 | — | — | |
| DAE-GANIDS model=CNN-BiLSTM2026.03 | 82.2 | — | — | |
| DAE-GANIDS model=CNN-LSTM2026.03 | 82 | — | — | |
| SYN-GANIDS model=CNN-BiLSTM2026.03 | 81.7 | — | — | |
| MultiCritics-WGAN-GPIDS model=CNN-BiLSTM2026.03 | 81.1 | — | — | |
| E-GraphSAGE2026.06 | — | 95.86 | 96 | |
| NEGAT+NEGSC2026.06 | — | 96.04 | 95 | |
| STG-NIDS2026.06 | — | 98.31 | 98 | |
| TCG-IDS2026.06 | — | 95.76 | 89 |