Tool-Supporting Data Protection Impact Assessments with CAIRIS

Joshua Coles, Shamal Faily, Duncan Ki-Aries
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引用次数: 16

Abstract

The General Data Protection Regulation (GDPR) encourages the use of Data Protection Impact Assessments (DPIAs) to integrate privacy into organisations' activities and practices from early design onwards. To date, however, there has been little prescription about how Security & Privacy Requirements Engineering processes map to the necessary activities of a DPIA, and how these activities can be tool-supported. To address this problem, we present a tool-supported process for undertaking DPIAs using existing Requirements Engineering approaches and the CAIRIS platform. We illustrate this process using a real-world case study example where it was used to elicit privacy risks for a prototype medical application to support chemotherapy treatment.
工具支持的数据保护影响评估与CAIRIS
通用数据保护条例(GDPR)鼓励使用数据保护影响评估(DPIAs),从早期设计开始将隐私整合到组织的活动和实践中。然而,到目前为止,关于安全和隐私需求工程流程如何映射到DPIA的必要活动,以及这些活动如何得到工具的支持,还没有什么规定。为了解决这个问题,我们提出了一个工具支持的过程,使用现有的需求工程方法和CAIRIS平台来执行DPIAs。我们使用一个真实的案例研究示例来说明此过程,该示例用于引发用于支持化疗的原型医疗应用程序的隐私风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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