联网和自动驾驶汽车中恶意软件传播和影响的模拟

J. Roscoe, Oliver Baxandall, R. Hercock
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引用次数: 0

摘要

联网和自动驾驶汽车(cav)是一项新兴技术,将给公众带来新的威胁。即将出台的标准(如ISO21434)表明,存在真正的网络安全风险,并且需要以车辆安全操作中心的形式支持基础设施。在这篇概念论文中,我们讨论了随着未来几年技术的成熟,汽车安全面临的一些问题,并研究了如何开发恶意软件的流行病学模型来解决对汽车网络威胁的担忧。我们详细介绍了Mobius的开发,这是一个用于模拟和分析自动驾驶汽车中的恶意软件事件的定制工具,并探索了如何将该技术应用于支持现实世界的决策。作为网络弹性需求的一部分,我们建议能够对网络威胁进行建模的车辆仿真软件发挥关键作用,以协助公路管理部门、oem和车队运营商等进行威胁分析和决策。我们提出了分区流行病学模型的总结,以及它们在理解cav的恶意软件传播中可以发挥的作用。
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Simulation of Malware Propagation and Effects in Connected and Autonomous Vehicles
Connected and autonomous vehicles (CAVs) are an emerging technology that will introduce new threats to the general public. Impending standards (such as ISO21434) demonstrate that there is a real cyber security risk and a need for supporting infrastructure in the form of vehicle security operations centre.In this concept paper we discuss some of the issues facing vehicle security as the technology matures over the next few years and look at how epidemiological models for malware might be developed to address concerns over vehicle cyber threats.We detail our development of Mobius, a bespoke tool for simulating and analysing malware events in CAVs and explore how the technology might be applied to support real-world decision making.As a part of the need for cyber resilience, we suggest there is a key role for vehicle simulation software capable of modelling cyber threats to assist with threat analysis and decision making for highway authorities, OEMs and fleet operators, amongst others. We present a summary of compartmental epidemiological models and the role they can play in understanding malware propagation for CAVs.
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