论文标题
Corona-Warn-App：追踪德国官方COVID-19曝光通知应用程序的开始
Corona-Warn-App: Tracing the Start of the Official COVID-19 Exposure Notification App for Germany
论文作者
论文摘要
2020年6月16日，德国推出了一个开源智能手机联系人跟踪应用程序（“ Corona-Warn-App”），以帮助追踪SARS-COV-2（Coronavirus）感染链。它使用基于曝光通知API使用了分散的，保护隐私的设计，其中集中式服务器仅用于分发该应用程序每天一次每天获取一次SARS-COV-2感染用户的键。但是，它的成功取决于其采用。在此海报中，我们使用直接在其托管基础架构上捕获的NetFlow轨迹来表征该应用程序的早期采用。我们表明该应用程序从Allover Dermany产生了流量 - 第一天。我们进一步观察到，当地的Covid-19-19不会导致流量明显增加。
On June 16, 2020, Germany launched an open-source smartphone contact tracing app ("Corona-Warn-App") to help tracing SARS-CoV-2 (coronavirus) infection chains. It uses a decentralized, privacy-preserving design based on the Exposure Notification APIs in which a centralized server is only used to distribute a list of keys of SARS-CoV-2 infected users that is fetched by the app once per day. Its success, however, depends on its adoption. In this poster, we characterize the early adoption of the app using Netflow traces captured directly at its hosting infrastructure. We show that the app generated traffic from allover Germany---already on the first day. We further observe that local COVID-19 outbreaks do not result in noticeable traffic increases.
