论文标题

评估攻击向量和汽车和道路基础设施的风险

Evaluation of Attack Vectors and Risks in Automobiles and Road Infrastructure

论文作者

Brewer III, John N., Dimitoglou, George

论文摘要

物联网(IoT)中智能汽车和车辆的演变(尤其是在进化导致完全自动驾驶汽车的扩散)中引起了人们对车辆/汽车安全性的极大兴趣。虽然攻击表面很宽,但仍有可剥削的脆弱性模式。在这项研究中,我们根据其攻击表面进行了审查,分类,并评估了文献中确定的一些常见车辆和基础设施攻击向量。为了补充这些攻击向量,已经提供了特定的技术建议,以确保智能汽车和运输基础设施的安全部署。

The evolution of smart automobiles and vehicles within the Internet of Things (IoT) - particularly as that evolution leads toward a proliferation of completely autonomous vehicles - has sparked considerable interest in the subject of vehicle/automotive security. While the attack surface is wide, there are patterns of exploitable vulnerabilities. In this study we reviewed, classified according to their attack surface, and evaluated some of the common vehicle and infrastructure attack vectors identified in the literature. To remediate these attack vectors, specific technical recommendations have been provided as a way towards secure deployments of smart automobiles and transportation infrastructures.

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