Research Article
Intrusion Detecting System Based on Temporal Convolutional Network for In-Vehicle CAN Networks
| Parameter item | Parameter value |
| Embedding size | 200 | Kernel size | 5 | Layer number | 4 | Hidden units | 150 | Convolution dropout | 0.45 | Embedding dropout | 0.25 | Initial learning rate | 0.50 | Gradient clip | 0.35 | Batch size | 16 | Sequence length | 60 | Top g | 16 |
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