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    况博裕, 李雨泽, 顾芳铭, 苏铓, 付安民. 车联网安全研究综述:威胁、对策与未来展望[J]. 计算机研究与发展, 2023, 60(10): 2304-2321. DOI: 10.7544/issn1000-1239.202330464
    引用本文: 况博裕, 李雨泽, 顾芳铭, 苏铓, 付安民. 车联网安全研究综述:威胁、对策与未来展望[J]. 计算机研究与发展, 2023, 60(10): 2304-2321. DOI: 10.7544/issn1000-1239.202330464
    Kuang Boyu, Li Yuze, Gu Fangming, Su Mang, Fu Anmin. Review of Internet of Vehicle Security Research: Threats, Countermeasures, and Future Prospects[J]. Journal of Computer Research and Development, 2023, 60(10): 2304-2321. DOI: 10.7544/issn1000-1239.202330464
    Citation: Kuang Boyu, Li Yuze, Gu Fangming, Su Mang, Fu Anmin. Review of Internet of Vehicle Security Research: Threats, Countermeasures, and Future Prospects[J]. Journal of Computer Research and Development, 2023, 60(10): 2304-2321. DOI: 10.7544/issn1000-1239.202330464

    车联网安全研究综述:威胁、对策与未来展望

    Review of Internet of Vehicle Security Research: Threats, Countermeasures, and Future Prospects

    • 摘要: 车联网(Internet of vehicle, IoV)作为一个支撑交通管理、信息服务、车辆控制等各类功能的集成网络,为车、路、人、云等不同实体提供信息服务,为道路安全和交通效率带来的极大帮助. 然而,庞大而复杂的网络架构也曝露了大量的攻击面,进而可能造成车辆失窃、信息泄露、驾驶故障等安全事故. 在深入总结现有车联网安全相关文献的基础上,将车联网架构分为了车内网和车外网2部分,再进一步细粒度地将车内网划分为固件层、车内通信层和应用决策层3个层级,将车外网划分为设备层、车外通信层和应用与数据层3个层级. 然后,基于该架构系统性地分析总结了每个层级目前所面临的攻击威胁,并且归纳比较了每层能够采取的安全对策. 之后,针对性地介绍了当前车联网安全关键技术. 最后,展望了车联网安全未来的研究方向.

       

      Abstract: As an integrated network supporting various functions (e.g., traffic management, information services, and vehicle control), Internet of vehicle (IoV) provides information services to different entities such as vehicles, roads, humans, and clouds. IoV brings a significant contribution to road safety and traffic efficiency. However, the large and complex IoV network architecture also exposes a vast number of attack surfaces, which in turn may cause vehicle theft, information leakage, driving failure, and other security incidents. In this paper, based on an in-depth summary of the existing literatures on IoV security, we divide IoV framework into two parts: the intra-vehicle network and the extra-vehicle network. Then, we further granularly divide the intra-vehicle network into three layers: the firmware layer, the intra-vehicle communication layer, and the application decision layer, while dividing the extra-vehicle network into three layers: the device layer, the extra-vehicle communication layer, and the application & data layer. Based on the framework, then we systematically analyse and summarize the existing attack threats at each layer, as well as outlining and comparing the security countermeasures that can be taken at each layer. Next, we introduce the current key technologies applied in IoV security. Finally, we forecast several future research directions for IoV security.

       

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