The Processing goes far beyond "the app" – Privacy issues of decentralized Digital Contact Tracing using the example of the German Corona-Warn-App

Rainer Rehak, C. R. Kühne
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Abstract

Since SARS-CoV-2 started spreading in Europe in early 2020, there has been a strong call for technical solutions to combat or contain the pandemic, with contact tracing apps at the heart of the debates. The EU’s General Data Protection Regulation (GDPR) requires controllers to carry out a data protection impact assessment (DPIA) where their data processing is likely to result in a high risk to the rights and freedoms (Art. 35 GDPR). A DPIA is a structured risk analysis that identifies and evaluates possible consequences of data processing relevant to fundamental rights in advance and describes the measures envisaged to address these risks or expresses the inability to do so.Based on the Standard Data Protection Model (SDM), we present the results of a scientific and methodologically clear DPIA. It shows that even a decentralized architecture involves numerous serious weaknesses and risks, including larger ones still left unaddressed in current implementations. It also found that none of the proposed designs operates on anonymous data or ensures proper anonymisation. It also showed that informed consent would not be a legitimate legal ground for the processing. For all points where data subjects’ rights are still not sufficiently safeguarded, we briefly outline solutions.
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处理远远超出了“应用程序”——以德国Corona-Warn-App为例,分散数字联系人追踪的隐私问题
自2020年初SARS-CoV-2开始在欧洲传播以来,人们一直强烈呼吁采取技术解决方案来对抗或控制这一流行病,而接触者追踪应用程序是辩论的核心。欧盟的通用数据保护条例(GDPR)要求控制者在其数据处理可能对权利和自由造成高风险的情况下进行数据保护影响评估(DPIA) (GDPR第35条)。DPIA是一种结构化的风险分析,可预先确定和评估与基本权利有关的数据处理可能产生的后果,并描述为解决这些风险所设想的措施或表示无法解决这些风险的措施。基于标准数据保护模型(SDM),我们提出了一个科学和方法清晰的DPIA结果。它表明,即使是分散的体系结构也涉及许多严重的弱点和风险,包括当前实现中仍未解决的更大的弱点和风险。它还发现,所有提议的设计都没有对匿名数据进行操作或确保适当的匿名。它还表明,知情同意不会成为处理的合法法律依据。对于数据主体的权利仍未得到充分保障的所有问题,我们简要概述了解决方案。
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