车辆协同机动的脆弱性分析

Konstantinos Kalogiannis, A. Henriksson, Panos Papadimitratos
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引用次数: 0

摘要

智能交通系统(ITS)最新的标准化工作集中在机动协调服务(MCS)上,用于自动车辆协同执行机动。目标是避免退化到较低的自动化水平,例如,当需要避开前面的障碍物时,需要人为输入操纵。配备mcs的车辆与附近可能受到即将到来的机动影响的车辆进行通信,以确定机动可以安全进行。装备MCS的车辆如果行为不当,后果可能是灾难性的:发送伪造的MCS信息或阻止接收这些信息,可能会误导受害车辆放弃机动,延误,甚至发生碰撞。在这项工作中,我们研究了现有机动协调协议(MCPs)的鲁棒性,并分析了伪造和干扰攻击的影响。我们的分析显示,颈部受伤的可能性增加,例如,颈部扭伤,以及潜在的更严重的伤害。作为阻止针对MCP的攻击的第一步,我们将MCP扩展到考虑车载传感器,以及MCP消息传递,然后再进行机动。我们的结果证明了MCP的漏洞,由于传感器的改进,以及进一步提高MCP安全性的必要性。最后,我们绘制了一个迈向弹性MCS的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vulnerability Analysis of Vehicular Coordinated Maneuvers
Intelligent Transport Systems (ITS) latest standardization efforts focus on a Maneuver Coordination Service (MCS), for automated vehicles to cooperatively perform maneuvers. The goal is to avoid degrading to lower levels of automation, i.e., human input for maneuvering, e.g., when an obstacle ahead needs to be avoided. MCS-equipped vehicles communicate with nearby vehicles that are possibly affected by the impending maneuver, to establish that a maneuver can safely take place. An MCS-equipped vehicle that misbehaves can be catastrophic: transmitting falsified MCS messages or preventing their reception can mislead victim vehicles into aborting a maneuver, being delayed and, worse even, collide. In this work, we investigate the robustness of existing Maneuver Coordination Protocols (MCPs) and analyze the effect of falsification and jamming attacks. Our analysis shows an increased probability for neck injuries, i.e., whiplash, and potentially more severe injuries. As a first step towards thwarting attacks targeting MCPs, we extend MCPs to take into account on-board vehicle sensors, along with MCP messaging, before committing to a maneuver. Our results demonstrate the MCP vulnerability, the improvement thanks to the sensors, and the need to further improve MCP security. We conclude with a road-map towards a resilient MCS.
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