
VeReMi Extension is a dataset for evaluating Misbehavior Detection Systems (MDSs) in Vehicular Ad hoc Networks (VANETs). It provides simulated V2X message logs and a broad set of misbehavior and attack scenarios. Compared to the original VeReMi dataset, VeReMi Extension introduces realistic sensor error models, additional attacks, larger datasets, and benchmark detection results.
misbehavior detection, intelligent transport systems, dataset, vehicular networks
misbehavior detection, intelligent transport systems, dataset, vehicular networks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
