Surveying and Analyzing Privacy Issues in Contact tracing apps

Rihab Boussada, Balkis Hamdane, F. Kamoun, L. Saïdane
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引用次数: 1

Abstract

The coronavirus pandemic continues to represent widespread panic, and global initiatives are focused on treating and limiting its spread. Contact tracing promises to help fight this pandemic through early detection of possible contagion events. In this context, several mobile applications have been proposed to try to identify the contact cases of a person who tested positive for COVID-19. In total, 32 countries have developed such applications and are using them as a strategy that may flatten the pandemic curve. These applications can also be adopted to combat future communicable diseases among humans. However, most of these applications do not fully respect the preservation of the privacy of users. That’s why, the adoption of these applications is being held back in many countries. Motivated by the need to protect user privacy, we analyze some of these applications. We demonstrate that they collect sensitive data which represents a violation of user privacy. At the end, we present several major recommendations that can serve as a reference, contributing to the development of privacy-preserving contact tracing applications.
调查和分析联系人追踪应用中的隐私问题
冠状病毒大流行继续引发广泛恐慌,全球行动的重点是治疗和限制其传播。接触者追踪有望通过早期发现可能的传染事件来帮助抗击这一流行病。在这种情况下,已经提出了几个移动应用程序,试图确定COVID-19检测呈阳性的人的接触病例。总共有32个国家开发了这种应用程序,并将其作为一项可能使大流行曲线趋于平缓的战略。这些应用也可用于防治未来人类之间的传染病。然而,这些应用程序中的大多数都没有充分尊重用户隐私的保护。这就是为什么在许多国家,这些应用程序的采用受到阻碍。出于保护用户隐私的需要,我们分析了其中的一些应用程序。我们证明他们收集敏感数据,这是对用户隐私的侵犯。最后,我们提出了几个主要的建议,可以作为参考,有助于隐私保护接触追踪应用程序的发展。
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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