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 attributes of reliability, security, privacy, and resilience. Our goal is to provide guidance for evaluating a system's trustworthiness based on objective evidence, so-called trustworthiness indicators. These indicators are carefully selected through the threat analysis of the particular system. 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.

翻译：可信度评估是确保相互依赖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。本文提出了一种针对超宽带自定位的整体可信度评估框架，涵盖可靠性、安全性、隐私性和韧性等属性。我们的目标是为基于客观证据（即可信度指标）评估系统可信度提供指导。这些指标通过对特定系统的威胁分析进行精心选择。我们的方法确保最终得到的可信度指标与选定的现实威胁相对应。此外，通过实验评估验证了所提方法的有效性。虽然该框架针对此特定用例进行了定制，但其流程本身可作为通用模板，适用于物联网或信息物理系统领域的其他应用场景。