论文标题
iotrace：一种灵活，高效和隐私的启用IoT的体系结构，用于联系跟踪
IoTrace: A Flexible, Efficient, and Privacy-Preserving IoT-enabled Architecture for Contact Tracing
论文作者
论文摘要
接触跟踪有望通过早日检测可能的传染事件来帮助与COVID-19的传播。为此，大多数现有的解决方案共享以下架构：智能手机连续广播随机信标，这些信标被附近的设备截获并存储在其本地触点日志中。在本文中，我们提出了一个支持IOT的体系结构，用于接触跟踪，以放松以智能手机为中心的假设，并提供享有以下功能的解决方案：（i）它将最终用户的开销降低到裸露的最低限度 - 移动设备仅广播其BeaCons； （ii）它为用户提供了一定程度的隐私，即使在最大的不利方案中，该解决方案也提供了K匿名性；而且，（iii）它是灵活的：可以配置相同的体系结构以支持几种模型 - 从完全分散到完全集中的模型 - 可以调整系统参数以支持几种社交互动模型的跟踪。我们还重点介绍了开放问题，并讨论了许多未来的研究方向。
Contact tracing promises to help fight the spread of Covid-19 via an early detection of possible contagion events. To this end, most existing solutions share the following architecture: smartphones continuously broadcast random beacons that are intercepted by nearby devices and stored into their local contact logs. In this paper, we propose an IoT-enabled architecture for contact tracing that relaxes the smartphone-centric assumption, and provide a solution that enjoys the following features: (i) it reduces the overhead on the end-user to the bare minimum -- the mobile device only broadcasts its beacons; (ii) it provides the user with a degree of privacy not achieved by competing solutions -- even in the most privacy adverse scenario, the solution provides k-anonymity; and, (iii) it is flexible: the same architecture can be configured to support several models -- ranging from the fully decentralized to the fully centralized ones -- and the system parameters can be tuned to support the tracing of several social interaction models. We also highlight open issues and discuss a number of future research directions.
