VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

This is the first, initial version of the Vehicular Reference Misbehavior (VeReMi) dataset, a dataset for the evaluation of misbehavior detection mechanisms for VANETs. This dataset consists of message logs of on-board units, including a labelled ground truth, generated from a simulation environment. The dataset includes malicious messages intended to trigger incorrect application behavior, which is what misbehavior detection mechanisms aim to prevent.