基于问题的用户信任需求的可信赖性推导

N. Mohammadi, Nelufar Ulfat-Bunyadi, M. Heisel
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引用次数: 1

摘要

支持复杂协同业务流程的信息物理系统(CPS)的可信赖性是一个新兴的特性。云计算等新技术为托管和提供复杂的协作业务操作带来了新功能。然而,这些进步可能会引入新的漏洞和威胁,这些漏洞和威胁是由Internet上的协作和数据交换引起的。因此,用户变得更加关注信任。为了解决用户的信任问题,必须提出和满足CPS的可信度要求。它们描述了CPS必须具备的属性(品质),以便值得信赖。在本文中,我们提出了一种基于问题的需求工程方法,该方法特别支持可信度需求的派生。基于识别出的用户信任关注点,在问题图中明确提出信任假设。它们表达了用户愿意信任的条件。然后对问题图和信任假设进行细化,直到它们足够具体,可以从中推导出值得信赖的要求。在细化过程中,信任假设可能会影响和修改系统设计(反之亦然,即由于某种系统设计,可能会出现需要解决的新的信任问题)。这样,从一开始就考虑到用户的信任问题,并将可信赖性设计到CPS中。本文使用来自医疗保健领域的应用程序示例来演示我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Problem-based Derivation of Trustworthiness Requirements from Users’ Trust Concerns
The trustworthiness of cyber-physical systems (CPS) that support complex collaborative business processes is an emergent property. New technologies like cloud computing bring new capabilities for hosting and offering complex collaborative business operations. However, these advances might introduce new vulnerabilities and threats caused by collaboration and data exchange over the Internet. Hence, users become more concerned about trust. In order to address users’ trust concerns, trustworthiness requirements for the CPS must be elicited and satisfied. They describe the properties (qualities) the CPS must possess in order to be trustworthy. In this paper, we suggest a problem-based requirements engineering method that supports specifically the derivation of trustworthiness requirements. Based on identified trust concerns of users, trust assumptions are made explicit in problem diagrams. They express the conditions under which users are willing to trust. The problem diagrams and trust assumptions are then refined until they are concrete enough to derive trustworthiness requirements from them. During the refinement process, trust assumptions may influence and modify the system design (and vice versa, i.e., due to a certain system design, new trust concerns may arise that need to be addressed). In this way, users’ trust concerns are considered right from the beginning and trustworthiness is designed into the CPS. An application example from the healthcare domain is used to demonstrate our approach.
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