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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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VeReMi Extension: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

Authors: Kamel, Joseph; Wolf, Michael; van der Heijden, Rens Wouter; Kaiser, Arnaud; Kargl, Frank;

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

Abstract

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. 

Related Organizations
Keywords

misbehavior detection, intelligent transport systems, dataset, vehicular networks

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average