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Perspective:A Novel Resilient Cybersecurity Management System for Connected and Automated Vehicles
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作者 Haoran Guang Yongling He +6 位作者 Bowen Zheng Weifeng Gong Yi Shi Hao Wu Yaoguang Cao Shichun Yang Hamid Reza Karimi 《Automotive Innovation》 2025年第2期335-367,共33页
Technologies such as Advanced Driving Assistance System(ADAS)and Vehicle-to-Everything(V2X)in Connected and Automated Vehicles(CAVs)have greatly enhanced the comfort and convenience of driving.However,the increasing l... Technologies such as Advanced Driving Assistance System(ADAS)and Vehicle-to-Everything(V2X)in Connected and Automated Vehicles(CAVs)have greatly enhanced the comfort and convenience of driving.However,the increasing levels of intelligence and connectivity also expose CAVs to severe cybersecurity risks.The vehicles,Internet of Vehicles(IoV)and the cloud servers for CAVs are vulnerable to cyberattacks.Furthermore,many standards and regulations require Original Equipment Manufacturers(OEMs)to consider potential cybersecurity threats when designing and developing CAV products.Consequently,ensuring the cybersecurity for vehicles,networks,and the cloud has become a critical issue that OEMs must address.However,the vast number of CAVs and the variety of the vehicular network make it difficult for the existing cybersecurity assessment and protection methods to satisfy the requirements of the entire vehicle,IoV and cloud.This paper reviews the cybersecurity requirements and potential vulnerabilities of CAVs,the IoV,and cloud servers.Existing cybersecurity assessment,protection and operation methods are summarized.A novel resilient cybersecurity management system is proposed to address the cybersecurity challenges of CAVs.This proposed system can orchestrate management policies and allocate resources based on the urgency of cybersecurity tasks across the vehicle,IoV and cloud,which is suitable for the rapidly evolving CAVs and the continuously expanding services. 展开更多
关键词 Cybersecurity・Connected and automated vehicle・Cybersecurity management system・software defined network
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