VeReMi NextGen: A Dataset for Evaluating Misbehavior Detection Systems in VANETs

VeReMi NextGen is a comprehensive dataset for researching and evaluating misbehavior detection systems in vehicular ad-hoc networks (VANETs). It extends the original VeReMi and VeReMi extension datasets with additional attack types, variation of driver profiles, an up-to-date traffic scenarioand a complete refactored structure.

VeReMi NextGen是一款用于研究与评估车载自组织网络 (vehicular ad-hoc networks, VANETs) 中不当行为检测系统的综合性数据集。该数据集拓展自原始VeReMi及VeReMi扩展数据集，新增了多种攻击类型、多样化的驾驶员画像与最新的交通场景，并对整体架构进行了全面重构。