Attacks and defences on intelligent connected vehicles:a survey

• 作 者: Mahdi Dibaei Xi Zheng Kun Jiang Robert Abbas Shigang Liu Yuexin Zhang Yang Xiang Shui Yu
• 机 构: Department of Computing,Macquarie University,Sydney,NSW,Australia;China State Key Lab of Automotive
• 出 处: 数字通信与网络（英文）
• 发表日期: 2020年4期
• 关键词: Intelligent vehicles Vehicular networks Software vulnerabilities Deep learning 3

Intelligent vehicles are advancing at a fast speed with the improvement of automation and connectivity,which opens up new possibilities for different cyber-attacks,including in-vehicle attacks(e.g.,hijacking attacks)and vehicle-to-everything communicationattacks(e.g.,data theft).These problems are becoming increasingly serious with the development of 4G LTE and 5G communication technologies.Although many efforts are made to improve the resilience to cyber attacks,there are still many unsolved challenges.This paper first identifies some major security attacks on intelligent connected vehicles.Then,we investigate and summarize the available de-fences against these attacks and classify them into four categories:cryptography,network security,software vulnerability detection,and malware detection.Remaining challenges and future directions for preventing attacks on intelligent vehicle systems have been discussed as well.