发表机构
Clemson University; Argonne National Laboratory; South Carolina State University（克莱姆森大学; 阿贡国家实验室; 南卡罗来纳州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过车在环实验验证了意图共享策略可增强模型预测控制器在拒绝服务攻击下的鲁棒性，消除碰撞并维持接近标称水平的行为。
AI 中文摘要
由网络攻击引起的通信延迟对联网自动驾驶的安全运行构成了严峻挑战。本研究探讨了在拒绝服务攻击下，采用意图共享通信策略来增强模型预测控制器的鲁棒性。我们使用了一个车在环测试平台，该平台将一辆真实的线控驱动车辆与微观交通模拟器及车对万物通信基础设施集成在一起。我们模拟了诱导长达两秒通信延迟的拒绝服务攻击。我们评估了三种控制器变体：基线状态共享、意图共享和延迟感知意图共享控制。实验结果表明，在对抗性延迟下，基线控制遭受显著的性能降级和频繁碰撞，而意图共享在测试场景中消除了碰撞并将行为维持在接近标称水平。这些发现证明了意图共享架构在保护联网车辆免受网络层降级影响方面的实际潜力。
英文摘要
Communication delays induced by cyber attacks present a critical challenge to the safe operation of connected autonomous driving. This study investigates the use of intention sharing communication strategy to enhance the resilience of model predictive controllers under Denial-of-Service attacks. We employ a vehicle-in-the-loop testbed integrating a real drive-by-wire vehicle with a microscopic traffic simulator and vehicle-to-X communication infrastructure. We emulate Denial-of-service attacks that induce communication delays of up to two seconds. We evaluate three controller variants: baseline status-sharing, intention-sharing, and delay-aware intention-sharing control. Experimental results reveal that while baseline control suffers significant performance degradation and frequent collisions under adversarial delay, intention sharing eliminates collisions and maintains behavior near nominal levels for the tested scenarios. These findings demonstrate the practical potential of intention-sharing architectures for safeguarding connected vehicles against network-layer degradation.
CommentsAccepted for publication as a Correspondence in IEEE Transactions on Vehicular Technology (TVT)
