COVID-19的邻近跟踪应用:数据隐私和安全

Gustavo Betarte, J. Campo, Andrea Delgado, P. Ezzatti, Laura González, Álvaro Martín, R. Martínez, Bárbara Muracciole
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引用次数: 3

摘要

自2020年初以来,COVID-19对世界人口的健康产生了重大影响。追踪感染者的接触者是控制大流行的主要战略之一。鉴于传染率高,很难进行有效的人工追踪,因此出现了开发数字近距离追踪技术的多种举措。在本文中,我们深入讨论了这些技术必须满足的安全性和个人数据保护要求,并提供了已在全球部署的各种应用程序的详尽详细列表。特别是,我们确定了可能破坏所分析要求的满足的潜在威胁,违反了主导的个人数据保护法规。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proximity tracing applications for COVID-19: data privacy and security
Since the beginning of 2020, COVID-19 has had a strong impact on the health of the world population. Tracing the contacts of infected people is one of the main strategies for controlling the pandemic. Given the high rates of contagion, which makes difficult an effective manual tracing, multiple initiatives arose for developing digital proximity tracing technologies. In this paper, we discuss in depth the security and personal data protection requirements that these technologies must satisfy, and we present an exhaustive and detailed list of the various applications that have been deployed globally. In particular, we identify potential threats that could undermine the satisfaction of the analyzed requirements, violating hegemonic personal data protection regulations.
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