本报告首先对智能网联汽车数据进行精确的分类,探讨了当前美国、欧盟和日本等的汽车数据安全立法现状,并与中国立法现状做比较。中国智能网联汽车行业起步较晚,可借鉴国外的立法经验完善数据安全法律体系。同时,研究发现智能网联汽车数据的合规性在一些典型场景下面临挑战,包括车内数据保护和用户隐私泄露等。为了增强对智能网联汽车的数据安全防护,需要明确汽车数据在常见场景下面临的安全威胁,如数据窃取、数据篡改等。为此,需设计解决问题的技术和安全方案,制定相应的数据安全保护措施,如数据加密、数据签名和安全传输等。梳理智能网联汽车数据安全在实践中的具体应用,包括数据跨境、数据识别和监管及数据安全评估和审查等。
<<This section first for smart snatched the classification of the common data accurately,study and analysis of the current car data safety of the legislative status quo of the United States,the European Union and Japan and other countries,with the domestic legislation present situation,because the domestic intelligent snatched the car starts late,the legislative advantages of studying abroad to perfect data security legal system. The research found that the current challenges and problems of data compliance of connected vehicles in some typical scenarios,including in-vehicle data protection and user privacy leakage and other security issues. In order to enhance the data security protection of connected vehicles,the security threats in common scenarios,such as data theft and data tampering,are identified. Formulate and design the technology and security scheme to solve the problem,formulate the corresponding data security protection measures,such as data encryption,data signature and secure transmission. Finally,we clarify the specific application of data security in practice,including data cross-border,data identification and supervision,data security evaluation and review,etc..
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