With the rapid development of the network technology of intelligent connected vehicles, the cyber security risk classification of vehicles will provide a good reference for the cyber security management of intelligent connected vehicles. This paper introduces the method of cyber security risk classification of automotive parts in the process of risk assessment. By using the hybrid analysis method of qualitative and quantitative, the cyber security related items of automotive are identified and the key feature information is extracted. At the same time, the risk level is calculated by using the quantitative evaluation method based on attack potential. In addition, the effectiveness of this method is verified by taking the vehicle information terminal T-Box as an example.
₹10000 (INR)
IEEE-2021