Image: ghcr.io/vs-uulm/veremi-nextgen:latest
A comprehensive dataset and dataset generator for evaluating Misbehavior Detection in Vehicle-to-Everything (V2X) communication.
VeReMi NextGen provides:
- Dataset with 15 attack types on V2X Cooperative Awareness Messages
- Train/Val/Test Sets for machine learning experiments
- Plug'n Play Solution for recreating the VeReMi Baseline with the option to change parameters
- Attack Generator to create custom attack scenarios
- CaTCH-MBD System implementing CaTCH adopted to VeReMi NextGen
- Parameter Optimization for systematically obtaining the best thresholds
VeReMi-NextGen/
├── Dataset/ # Download-Links for each set of VeReMi NextGen
├── Generator/ # Everything to recreate VeReMi NextGen or an own new Dataset
└── Documentation/ # Detailed documentation of VeReMi NextGen
- Home – Overview, message format, quick start
- Getting Started - Guide to run the simulation on you own machine
- Architecture – System design & Overview
- Processes – Processes that occure during simulation
- Evaluation – Tools used for evluating VeReMi NextGen
- Post-Processing – Post-Processing pipeline for integrating MB and more
- Eclipse MOSAIC - Eclipse MOSAIC Simulation Setup