Research Article

Intrusion Detecting System Based on Temporal Convolutional Network for In-Vehicle CAN Networks

Table 5

Detecting results using TCNIDS.

Data set (%)TPRFPRAccuracy

Normal99.9990.00199.999
Fuzzy attack97.5520.02798.345
Gear spoof93.5260.03996.290
RPM spoof93.0780.04694.626
DoS attack100.0000.03498.496