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SAVE: Security & safety by model-based systems engineering on the example of automotive industry

机译:保存:安全& 基于模型的系统工程在汽车行业示例中的安全

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Cyber-physical systems (CPS), like autonomous vehicles, are intelligent and networked. The development of such systems requires interdisciplinary cooperation between different stakeholders. A lack of system understanding between stakeholders can lead to unidentified security threats & safety hazards, resulting in high costs in product development. In particular, a lack of an integrative consideration of security threats & safety hazards can compromise safety compliance for CPS. Model-based systems engineering (MBSE) improves the understanding of systems between stakeholders by additionally creating supporting models. However, MBSE approaches only partially address security threats & safety hazards. In particular, their integrative consideration is not taken into account. Established security & safety approaches either are only applicable to specific disciplines or only partially consider security threats & safety hazards. In this paper we present a method that enables the early identification of safety relevant security threats. The method is designed to be applied in workshops with an interdisciplinary team of stakeholders and is used to determine initial results for the system architecture design phase. We illustrate our approach with the example of the automotive sector. To build a realistic system architecture we identified 18 architectural vehicle components including relevant architectural constraints. Finally, we present an evaluation of the method, based on a workshop with 30 master students.
机译:网络物理系统(CPS),如自主车辆,是智能和网络的。此类系统的发展需要不同利益攸关方之间的跨学科合作。利益攸关方之间的制度缺乏可能导致身份不明的安全威胁&安全危险,生产产品开发成本高。特别是,缺乏对安全威胁&amp的综合思考;安全危害可能会损害CPS的安全顺应性。基于模型的系统工程(MBSE)通过另外创建支持模型,可以提高利益相关者之间的系统的理解。但是,MBSE仅部分地解决了安全威胁&安全危害。特别是,他们的完整性考虑不会被考虑在内。建立安全&安全方法只适用于特定学科,或仅部分考虑安全威胁&安全危害。在本文中,我们提出了一种能够早期确定安全相关安全威胁的方法。该方法旨在应用于具有利益相关者的跨学科团队的研讨会中,用于确定系统架构设计阶段的初始结果。我们用汽车行业的例子说明了我们的方法。建立一个现实的系统架构,我们确定了18个建筑车辆组件,包括相关的架构限制。最后,我们介绍了该方法的评估,基于30名硕士学位的车间。

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