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An intelligent security system for autonomous cars based on infrared sensors

机译:基于红外传感器的自动驾驶汽车智能安防系统

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Safety and non-safety applications in the external communication systems of self-driving vehicles require authentication of control data, cooperative awareness messages and notification messages. Traditional security systems can prevent attackers from hacking or breaking important system functionality in autonomous vehicles. This paper presents a novel security system designed to protect vehicular ad hoc networks in self-driving and semi-autonomous vehicles that is based on Integrated Circuit Metric technology (ICMetrics). ICMetrics has the ability to secure communication systems in autonomous vehicles using features of the autonomous vehicle system itself. This security system is based on unique extracted features from vehicles behaviour and its sensors. Specifically, features have been extracted from bias values of infrared sensors which are used alongside semantically extracted information from a trace file of a simulated vehicular ad hoc network. The practical experimental implementation and evaluation of this system demonstrates the efficiency in identifying of abnormal/malicious behaviour typical for an attack.
机译:无人驾驶汽车的外部通信系统中的安全和非安全应用程序要求对控制数据,协作意识消息和通知消息进行身份验证。传统的安全系统可以防止攻击者入侵或破坏自动驾驶汽车中的重要系统功能。本文提出了一种基于集成电路度量技术(ICMetrics)的新型安全系统,旨在保护自动驾驶和半自动驾驶汽车的自组织网络。 ICMetrics能够利用自动驾驶汽车系统本身的功能来保护自动驾驶汽车中的通信系统。该安全系统基于从车辆行为及其传感器提取的独特特征。具体而言,已经从红外传感器的偏差值中提取了特征,这些特征与从仿真的车辆自组织网络的跟踪文件中语义提取的信息一起使用。该系统的实际实验实施和评估证明了识别典型攻击的异常/恶意行为的效率。

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