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Inherent privacy limitations of decentralized contact tracing apps.
Journal of the American Medical Informatics Association ( IF 6.4 ) Pub Date : 2021-01-12 , DOI: 10.1093/jamia/ocaa153
Yoshua Bengio 1, 2 , Daphne Ippolito 3 , Richard Janda 4 , Max Jarvie 5 , Benjamin Prud'homme 2 , Jean-François Rousseau 6 , Abhinav Sharma 7 , Yun William Yu 8
Affiliation  

Abstract
Recently, there have been many efforts to use mobile apps as an aid in contact tracing to control the spread of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) (COVID-19 [coronavirus disease 2019]) pandemic. However, although many apps aim to protect individual privacy, the very nature of contact tracing must reveal some otherwise protected personal information. Digital contact tracing has endemic privacy risks that cannot be removed by technological means, and which may require legal or economic solutions. In this brief communication, we discuss a few of these inherent privacy limitations of any decentralized automatic contact tracing system.


中文翻译:

分散的联系人跟踪应用程序固有的隐私限制。

摘要
最近,人们进行了许多努力来使用移动应用程序来帮助进行接触者追踪,以控制SARS-CoV-2(严重急性呼吸综合征冠状病毒2)(COVID-19 [Coronavirus disease 2019])大流行的传播。但是,尽管许多应用程序旨在保护个人隐私,但是联系人跟踪的本质必须揭示一些其他受保护的个人信息。数字联系人跟踪具有地方性隐私风险,这些风险无法通过技术手段消除,并且可能需要法律或经济解决方案。在这篇简短的通讯中,我们讨论了任何分散式自动联系人跟踪系统的一些固有的隐私限制。
更新日期:2021-01-16
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