Peterseil Philipp, Etzlinger Bernhard, Horáček Jan, Khanzadeh Roya, Springer Andreas
Institute for Communications Engineering and RF-Systems, Johannes Kepler University Linz, 4040 Linz, Austria.
Institute of Networks and Security, Johannes Kepler University Linz, 4040 Linz, Austria.
Sensors (Basel). 2024 Aug 14;24(16):5268. doi: 10.3390/s24165268.
Trustworthiness assessment is an essential step to assure that interdependent systems perform critical functions as anticipated, even under adverse conditions. In this paper, a holistic trustworthiness assessment framework for ultra-wideband self-localization is proposed, including the attributes of reliability, security, privacy, and resilience. Our goal is to provide guidance for evaluating a system's trustworthiness based on objective evidence, i.e., so-called trustworthiness indicators. These indicators are carefully selected through the threat analysis of the particular system under evaluation. Our approach guarantees that the resulting trustworthiness indicators correspond to chosen real-world threats. Moreover, experimental evaluations are conducted to demonstrate the effectiveness of the proposed method. While the framework is tailored for this specific use case, the process itself serves as a versatile template, which can be used in other applications in the domains of the Internet of Things or cyber-physical systems.
可信度评估是确保相互依赖的系统即使在不利条件下也能按预期执行关键功能的重要步骤。本文提出了一种用于超宽带自定位的整体可信度评估框架，包括可靠性、安全性、隐私性和弹性等属性。我们的目标是基于客观证据（即所谓的可信度指标）为评估系统的可信度提供指导。这些指标是通过对特定评估系统的威胁分析精心挑选出来的。我们的方法确保了所得的可信度指标与选定的现实世界威胁相对应。此外，还进行了实验评估以证明所提方法的有效性。虽然该框架是针对此特定用例量身定制的，但该过程本身可作为一个通用模板，可用于物联网或网络物理系统领域的其他应用中。
