论文标题
COVID-19接触跟踪应用程序的调查
A Survey of COVID-19 Contact Tracing Apps
论文作者
论文摘要
Covid-19的最近爆发使全世界感到惊讶，迫使锁定和劳累的公共卫生保健系统。众所周知，Covid-19是一种高度传染性的病毒，受感染的个体最初没有表现出症状，而有些则无症状。因此，在任何给定时间，不可忽略的人口都可以是传播的隐藏来源。作为回应，许多政府对智能手机联系跟踪应用程序表现出极大的兴趣，这些应用程序有助于自动追踪新确定的受感染者的所有最近联系的艰巨任务。但是，跟踪应用程序已经围绕其关键属性进行了许多讨论，包括系统体系结构，数据管理，隐私，安全性，接近性估计和攻击漏洞。在本文中，我们将对这些备受关注的跟踪应用属性进行了首次全面综述。我们还概述了许多提议的追踪应用程序示例，其中一些示例已在全国范围内部署，并讨论了用户对其使用情况报告的担忧。我们通过概述了下一代应用程序设计的潜在研究方向，这将有助于提高追踪和安全绩效，并在整个人群中广泛采用。
The recent outbreak of COVID-19 has taken the world by surprise, forcing lockdowns and straining public health care systems. COVID-19 is known to be a highly infectious virus, and infected individuals do not initially exhibit symptoms, while some remain asymptomatic. Thus, a non-negligible fraction of the population can, at any given time, be a hidden source of transmissions. In response, many governments have shown great interest in smartphone contact tracing apps that help automate the difficult task of tracing all recent contacts of newly identified infected individuals. However, tracing apps have generated much discussion around their key attributes, including system architecture, data management, privacy, security, proximity estimation, and attack vulnerability. In this article, we provide the first comprehensive review of these much-discussed tracing app attributes. We also present an overview of many proposed tracing app examples, some of which have been deployed countrywide, and discuss the concerns users have reported regarding their usage. We close by outlining potential research directions for next-generation app design, which would facilitate improved tracing and security performance, as well as wide adoption by the population at large.
