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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...

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Principais autores: Abu Zahid Md Jalal Uddin, Atahar Nayeem, Touhid Bhuiyan
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2026-05-01
סדרה:Automation
נושאים:
federated learning
connected autonomous vehicles
CAN bus intrusion detection
adversarial attacks
poisoning attacks
backdoor attacks
גישה מקוונת:https://www.mdpi.com/2673-4052/7/3/80
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