基于特征识别的智能网联汽车资产识别方法

Intelligent Connected Vehicle Asset Identification Method Based on Feature Recognition

随着智能网联汽车的飞速发展,对车辆进行信息安全风险评估在车辆生命周期中占有重要地位。介绍风险评估过程中智能网联汽车资产分析的一种方法,基于目前智能网联汽车信息安全常见的安全风险入口点进行特征识别与分析,提取与分析各类资产特征数据与风险评估过程的关联关系,并以车载信息终端T-Box为例验证该方法的有效性。

With the rapid development of intelligent networked vehicles,information security risk assessment of vehicles plays an important role in the life cycle of vehicles.A method for the assets analysis of intelligent connected vehicle was introduced.Feature recognition and analysis was made based on the security risk entry points commonly used in intelligent connected vehicle.Characteristics data of all kinds of assets and risk assessment process incidence relation were extracted and analyzed.The effectiveness of the proposed method was verified by taking T-Box as an example.