包含不确定性影响的移动接入系统物理安全风险分析

Thomas Termin, D. Lichte, K. Wolf
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引用次数: 0

摘要

对车主和车队管理提供商来说,防范涉及有组织犯罪的汽车盗窃是一个日益严重的威胁。这将安全技术引入汽车行业。安全性评估和合理使用措施以减少汽车安全系统的脆弱性被认为是移动接入系统(MAS)供应商和用户面临的一项特殊挑战,因为通常只有有限的设计和分析资源可用。缺乏足够的参考著作和具体的行动建议、指导方针或标准形式的规范,通常会导致专有的安全评估严重依赖于遵从性检查。从良好的成本效益比来看,这些评估往往缺乏充分的应用特异性和目标导向。对于MAS来说尤其如此,因为它们是相对较新的产品,具有特定的用例和边界条件。开放的基于性能风险的集成安全方法(PRISM)允许对关键基础设施(CRITIS)进行基于性能的物理安全评估,并在该领域启动了向基于性能的方法的范式转变。然而,PRISM仅采用半定量方法,因此不允许考虑不确定性影响。此外,该方法尚未应用于移动接入系统(MAS)。本文旨在通过扩展和优化PRISM的概念,将其应用于MAS的用例中,从而实现考虑不确定性的整体风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physical Security Risk Analysis for Mobile Access Systems Including Uncertainty Impact
Protection against car theft, involving organized crime, is a growing threat for car owners as well as fleet management providers. This brings the use of security technologies into automotive industry. The evaluation of security and the justified use of measures to reduce vulnerability of car security systems is perceived as a special challenge for vendors and users of mobile access systems (MAS), as usually only limited resources for design and analysis are available. A lack of adequate reference works and specifications in the form of concrete recommendations for action, guidelines or standards often leads to proprietary security assessments heavily relying on compliance checks. These assessments often lack sufficiency regarding application-specificity and target-orientation in terms of a good cost benefit ratio. This is true for MAS in particular, as they are relatively new products with specific use cases and boundary conditions. The open-available Performance Risk-based Integrated Security Methodology (PRISM) allows a performance-based physical security assessment of critical infrastructures (CRITIS) and initiated a paradigm shift towards performance-based methods within this area. However, PRISM comprises semi-quantitative approaches only and thus does not allow for the consideration of uncertainty impact. Moreover, the approach has not been applied to mobile access systems (MAS) yet. This paper aims at applying the concept of PRISM to the use case of MAS by extending and optimizing it to enable a holistic risk assessment considering uncertainties.
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