Cyber-attack detection on WADI
99.85PrecisionKAN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| KANNumber of Params.=17,5002026.03 | 99.85 | 99.98 | 99.9 | 99.87 | |
| DKD-MLPNumber of Params.=2,5222026.03 | 98.88 | 99.82 | 98.02 | 98.45 | |
| Teacher KAN modelNumber of Params.=198,7502026.03 | 98.84 | 99.88 | 99.09 | 98.96 | |
| Student MLP modelNumber of Params.=2,5222026.03 | 97.21 | 99.48 | 93.62 | 95.38 | |
| GDN2026.03 | 85.62 | — | 85.41 | 85.52 | |
| GTA2026.03 | 83.91 | — | 83.61 | 83.76 | |
| USAD2026.03 | 64.51 | — | 32.2 | 42.96 | |
| LSTM+VAE2026.03 | 46.32 | — | 32.2 | 37.99 | |
| GTA2026.03 | 42.12 | — | 63.34 | 50.59 | |
| MAD-GAN2026.03 | 41.44 | — | 33.92 | 37.3 | |
| MSCRED2026.03 | 30.26 | — | 40.35 | 34.58 | |
| OminiAnimaly2026.03 | 26.52 | — | 97.99 | 41.74 | |
| DAGMM2026.03 | 22.28 | — | 19.76 | 20.94 |