Robust Federated Learning for Anomaly Detection in Connected Autonomous Vehicle Networks Under Adversarial Attacks

Connected and autonomous vehicles (CAVs) increasingly rely on vehicle-to-everything (V2X) communication and distributed sensing infrastructures to support cooperative driving and intelligent transportation services. While these capabilities improve traffic efficiency and safety, they also expand the...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Abu Zahid Md Jalal Uddin, Atahar Nayeem, Touhid Bhuiyan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-05-01
Serie:	Automation
Soggetti:	federated learning connected autonomous vehicles CAN bus intrusion detection adversarial attacks poisoning attacks backdoor attacks
Accesso online:	https://www.mdpi.com/2673-4052/7/3/80
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!