FedAV:Federated learning for cyberattack vulnerability and resilience of cooperative driving automationOA
FedAV:Federated learning for cyberattack vulnerability and resilience of cooperative driving automation
Guanyu Lin;Sean Qian;Zulqarnain H.Khattak
Civil and Environmental Engineering,Carnegie Mellon University,Pittsburgh,PA,15213,USACivil and Environmental Engineering,Carnegie Mellon University,Pittsburgh,PA,15213,USATransportation and Urban Infrastructure Studies,Morgan State University,Baltimore,MD,21251,USA
CybersecurityCyberattackConnected automated vehiclesAnomaly detectionFederated learningAgentVehicle to everything(V2X)Vehicle platooning
CybersecurityCyberattackConnected automated vehiclesAnomaly detectionFederated learningAgentVehicle to everything(V2X)Vehicle platooning
《交通研究通讯（英文）》 2025 (2)
107-122,16
This work was sponsored by TraCR University Transportation Center,sponsored by the United States Department of Transportation.The work also received support from Safety21 University Transportation Center,funded by the United States Department of Transportation.The authors gratefully acknowledge this support.
评论