LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection

1 code implementation • 14 Nov 2023 • Aiheng Zhang, Kai Wang, Bailing Wang, Yulei Wu

Through experiments, we prove that LiPar has great detection performance, running efficiency, and lightweight model size, which can be well adapted to the in-vehicle environment practically and protect the in-vehicle CAN bus security.

Cloud Computing Network Intrusion Detection