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Theoretical Analysis of Security Warnings in Vehicles and Design Challenges for the Evaluation of Security Warnings in Virtual Environments

机译:车辆安全警告的理论分析及虚拟环境中安全警告评估的设计挑战

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In this paper, we present an approach for designing security warnings in vehicles for software based security incidents. With this we pursue the goal of reducing safety relevant component failures, which can be caused by manipulated or malicious software. The basis of our work is a theoretical analysis of the correlation of manipulated software (including malware) in automotive systems with the safety relevant failures of system components. We describe the potential of a security warning, which can be presented in time ahead of a traditional safety warning: The latter would only indicate safety-relevant implications that potentially arise later as an implication of the preceding security incident. In this paper we suggest three exemplary icons for a combined security-safety warning. Combined warning means a warning not at the time of a safety-relevant failure but already in the detection of the security-violation (e.g. manipulated software in the vehicle). An essential precondition is a recognition algorithm for such malicious software, which has been examined in previous research like [3]. Based on theoretical analyses, we introduce an exemplary design for the testing of these warnings in a virtual environment, precisely, in a driving simulator. A couple of factors play a central role in such evaluations, such as: perception, reaction of the driver, interpretation of warnings and security awareness. The results can be interpreted in the context of the fundamental aim: the reduction of accidents by security alerts. They thus serve as a recommended course of action for implementation in future vehicles.
机译:在本文中,我们提出了一种针对基于软件的安全事件设计车辆安全警告的方法。为此,我们追求的目标是减少与安全相关的组件故障,这些故障可能是由操纵或恶意软件引起的。我们工作的基础是对汽车系统中操纵软件(包括恶意软件)与系统组件安全相关的故障之间的相关性进行理论分析。我们描述了安全警告的可能性,可以在传统安全警告之前及时提出该警告:后者仅表示与安全相关的隐含含义,可能在以后由于先前的安全事件而产生。在本文中,我们提出了三个示例性图标,用于组合式安全保护警告。组合警告表示不是在发生与安全相关的故障时发出的警告,而是在检测到违反安全性时发出的警告(例如,车辆中的操纵软件)。一个必要的先决条件是针对此类恶意软件的识别算法,该算法已在之前的研究中进行过研究,例如[3]。基于理论分析,我们介绍了一种示例性设计,用于在虚拟环境中(确切地说,在驾驶模拟器中)测试这些警告。在这种评估中,有几个因素起着核心作用,例如:感知,驾驶员的反应,警告的解释和安全意识。可以在以下基本目的的背景下解释结果:通过安全警报减少事故。因此,它们是建议在未来车辆中实施的行动方案。

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