A literature survey of attacks on intelligent connected vehicles and defenses classified into four categories: cryptography, network security, software vulnerability detection, and malware detection.
Looking-in and looking-out vision for urban intelligent assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking,
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An Overview of Attacks and Defences on Intelligent Connected Vehicles
A literature survey of attacks on intelligent connected vehicles and defenses classified into four categories: cryptography, network security, software vulnerability detection, and malware detection.