Detection of In-Vehicle Data Falsification: A Deep Learning-Based Approach

This study’s key contributions include:

Novel application of deep learning models (DNNs and RNNs) for in-vehicle data falsification detection.
Utilization of the new CICIoV2024 dataset, providing insights into latest IoV attack scenarios.