most citedComparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network

20 citations · 20 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 20 cited

Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network

Yongqi Dong, Kejia Chen, Yinxuan Peng +1

As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is crucial to the security of vehicle driving. One of the best standards for the in-vehic…