面向车联网的数据安全防护技术研究

Research on Data Security Protection Technology for IoV

车联网中,智能网联汽车会与车周环境、路面基础设施、导航系统、人车交互、车间交互产生各类数据。针对车联网数据所面临的数据干扰欺骗、数据泄露、非法访问、数据篡改等安全威胁,提出车联网数据安全防护模型,研究了该模型中数据安全治理与监管、数据安全共享交换、数据隐私保护3个方面的关键技术。通过项目实践证明,该防护模型能够对车联网车端和云端的数据采集、数据传输、数据共享、数据分析使用等过程进行有效的数据保护,可为车联网数据安全工程实践提供可靠参考依据。

In IoV(Internet of Vehicles),intelligent connected vehicles generate various types of data with the surrounding environment,road infrastructure,navigation systems,human-vehicle interactions,and workshop interactions.This paper proposes a data security protection model for IoV,which addresses security threats such as data interference and deception,data leakage,illegal access,data tampering and so on,and studies the key technologies in the model in the three aspects of data security governance and supervision,data security sharing and circulation,and data privacy protection.Project practice proves that the protection model can provide effective data protection for the processes of data collection,data transmission,data sharing,data analysis and use of data on the vehicle end and cloud end of the IoV,which can provide a reliable reference for the engineering practice of data security in the IoV.