Research Article
Industrial Anomaly Detection and Attack Classification Method Based on Convolutional Neural Network
Table 9
Time occupancy of different methods.
| Detection method | Time occupancy per instance (s) |
| SAM-kNN | 0.099 | Pegasos | 0.101 | ARF | 0.084 | e-SREBOM | 0.089 | Our method (feature mapping) | 0.253 | Our method (detection) | 0.192 |
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