Research Article
Intrusion Detecting System Based on Temporal Convolutional Network for In-Vehicle CAN Networks
Table 5
Detecting results using TCNIDS.
| Data set (%) | TPR | FPR | Accuracy |
| Normal | 99.999 | 0.001 | 99.999 | Fuzzy attack | 97.552 | 0.027 | 98.345 | Gear spoof | 93.526 | 0.039 | 96.290 | RPM spoof | 93.078 | 0.046 | 94.626 | DoS attack | 100.000 | 0.034 | 98.496 |
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