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

Authors: van der Heijden, Rens Wouter; Lukaseder, Thomas; Kargl, Frank;

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

Abstract

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.

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