面向网联自动驾驶队列的信息安全控制

Information Security Control for Connected Automated Vehicle Platoons

针对智能网联汽车在开放通信环境下易受网络攻击的问题,提出了在网络攻击环境下保障车辆安全驾驶行为的控制方法.首先建立了一套集检测与修复机制于一体的模型架构,并以网联自动驾驶队列为研究对象,进而提出了基于车辆动力学参数阈值的异常信息检测方法和基于DNA双螺旋结构的双链修复方法.通过异常信息检测机制,实现针对车辆动力学参数如加速度、速度和位移进行合理性判断.若数据异常,则采用修复机制进行异常修复,实现车辆驾驶行为的稳定.在仿真实验部分,分别设计了无检测机制、有检测机制、检测机制失效3种场景进行验证.结果表明:网络攻击会对车队的安全运行产生不同程度干扰,同时也表明所提出的安全控制方法能够缓解或抑制威胁攻击对车辆行为的影响.该成果能够为网联自动驾驶车辆安全机制设计、保障车辆安全稳定运行提供理论依据.

Since connected automated vehicles are vulnerable to cyberattacks in an open communication environment, a security control method was proposed to ensure the safe driving behavior of vehicles under cyberattacks. The system architecture was first designed, which integrated detection and repair mechanisms. Then, an anomaly detection method based on the threshold of vehicle dynamics parameters and a double-stranded repair based on the DNA double helix structure were presented specifically. Through the anomaly detection method, the rationality of the vehicle dynamics parameters such as acceleration, speed, and displacement was derived;if the parameters’ values are abnormal, the repair mechanism worked and repaired the abnormality to stabilize the vehicle driving behavior. To verify the effectiveness of the proposed method, a series of simulations were conducted, where three scenarios were discussed, i.e., no detection mechanism, detection mechanism, and detection mechanism failure. Simulation results show that cyberattacks can influence vehicles’ behaviors, and the proposed safety control method can relieve or resist the impact of cyberattacks effectively. The research results will provide a scientific basis for designing security schemes and keeping the platoons run safely and stably.