CPS: an efficiency-motivated attack against autonomous vehicular transportation

Ryan M. Gerdes, Chris Winstead, K. Heaslip
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引用次数: 57

Abstract

This work describes a new type of efficiency attack that can be used to degrade the performance of automated vehicular transportation systems. Next-generation transportation technologies will leverage increasing use of vehicle automation. Proposed vehicular automation systems include cooperative adaptive cruise control and vehicle platooning strategies which require cooperation and coordination among vehicles. These strategies are intended to optimize through-put and energy usage in future highway systems, but, as we demonstrate, they also introduce new vulnerabilities. In this work we show that a typical platooning system would allow a maliciously controlled vehicle to exert subtle influence on the motion of surrounding vehicles. This effect can be used to increase the energy expenditure of surrounding vehicles by 20% to 300%.
CPS:针对自动驾驶车辆运输的效率动机攻击
这项工作描述了一种新型的效率攻击,可用于降低自动车辆运输系统的性能。下一代交通技术将越来越多地利用车辆自动化。提出的车辆自动化系统包括协作自适应巡航控制和车辆队列策略,这需要车辆之间的合作和协调。这些策略旨在优化未来高速公路系统的吞吐量和能源使用,但是,正如我们所展示的,它们也引入了新的漏洞。在这项工作中,我们展示了一个典型的队列系统将允许恶意控制的车辆对周围车辆的运动施加微妙的影响。这种效果可以使周围车辆的能源消耗增加20%到300%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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