Who Hacked My Car? Designing Autonomous Vehicles to Support Driver Response to Security Threats

Cherin Lim, Prashanth Rajivan
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Abstract

Modern vehicles have evolved into intelligent and autonomous transportation systems, yet such computer-driven developments also create opportunities for unforeseen cyber-security attacks on self-driving cars. These threats may pose critical risks to human lives but there is a considerable lack of understanding in designing vehicle systems to support driver response during rare and hazardous security events. We conducted an interview with autonomous vehicle drivers to understand their perception of automotive threats and design needs for effective response during security events. Results show that drivers expect information relating to malfunction detection, trouble-shooting instructions, and log data from the vehicle. Moreover, drivers were more likely to act based on instincts the more the driver perceives the threat to be urgent, rather than process the situation during the initial stages of an attack. We thus propose a ‘Driver Response Phase’ and corresponding design implications for future vehicles that support user response to security risks.
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谁黑了我的车?设计支持驾驶员应对安全威胁的自动驾驶汽车
现代汽车已经发展成为智能和自主的运输系统,然而这种计算机驱动的发展也为自动驾驶汽车受到不可预见的网络安全攻击创造了机会。这些威胁可能会对人类生命构成严重威胁,但在设计车辆系统以支持驾驶员在罕见和危险的安全事件中做出反应方面,我们还相当缺乏了解。我们对自动驾驶汽车驾驶员进行了访谈,以了解他们对汽车威胁的感知以及在安全事件中有效响应的设计需求。结果显示,驾驶员期望从车辆中获得与故障检测、故障排除指导和日志数据相关的信息。此外,驾驶员越是认为威胁紧急,就越有可能根据本能采取行动,而不是在攻击的初始阶段处理情况。因此,我们提出了 "驾驶员响应阶段",并对未来支持用户响应安全风险的车辆提出了相应的设计建议。
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