Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi datasetZenodo

The Vehicular Reference Misbehavior Dataset (VeReMi) is a vital resource for advancing Intelligent Transportation Systems (ITS) and the Internet of Vehicles (IoV). However, its large size (∼7 GB) and inherent class imbalance pose significant challenges for machine learning model development. This pa...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Aparup Roy, Debotosh Bhattacharjee, Ondrej Krejcar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-06-01
Edice:	Data in Brief
Témata:	Vehicular reference misbehavior dataset (VeReMi) Intelligent transportation systems (ITS) Internet of vehicles (IoV) Intrusion detection systems (IDS) Data preprocessing Dataset optimization
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352340925003312
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!