Published July 27, 2020
| Version v1
Dataset
Open
VeReMi Extension: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs
Authors/Creators
- 1. Ulm University
- 2. IRT SystemX
-
3.
Universität Ulm
Description
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.
Files
README.md
Files
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Additional details
Identifiers
Software
- Repository URL
- https://github.com/VeReMi-dataset/VeReMi-Extension
- Development Status
- Inactive