Businesses planning for the post-pandemic world are looking for innovative ways to protect the health and welfare of their employees and customers. Wireless technologies can play a key role in assisting contact tracing to quickly halt a local infection outbreak and prevent further spread. In this work, we present a wearable proximity and exposure notification solution based on a smartwatch that also promotes safe physical distancing in business, hospitality, or recreational facilities. Our proximity-based privacy-preserving contact tracing (P$^3$CT) leverages the Bluetooth Low Energy (BLE) technology for reliable proximity sensing, and an ambient signature protocol for preserving identity. Proximity sensing exploits the received signal strength (RSS) to detect the user's interaction and thus classifying them into low- or high-risk with respect to a patient diagnosed with an infectious disease. More precisely, a user is notified of their exposure based on their interactions, in terms of distance and time, with a patient. Our privacy-preserving protocol uses the ambient signatures to ensure that users' identities be anonymized. We demonstrate the feasibility of our proposed solution through extensive experimentation.

中文翻译：

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使用智能手表的流行病暴露通知：一种基于邻近的隐私保护方法

为大流行后世界做规划的企业正在寻找创新方法来保护员工和客户的健康和福利。无线技术可以在协助接触者追踪以快速阻止本地感染爆发并防止进一步传播方面发挥关键作用。在这项工作中，我们提出了一种基于智能手表的可穿戴接近和暴露通知解决方案，该解决方案还促进了商业、酒店或娱乐设施中的安全物理距离。我们基于接近度的隐私保护接触追踪 (P$^3$CT) 利用蓝牙低功耗 (BLE) 技术实现可靠的接近度感应，并利用环境签名协议来保护身份。接近感应利用接收到的信号强度 (RSS) 来检测用户 s 相互作用，从而将它们分类为对于被诊断患有传染病的患者而言的低风险或高风险。更准确地说，用户会根据他们与患者在距离和时间方面的交互而被告知他们的暴露情况。我们的隐私保护协议使用环境签名来确保用户的身份匿名。我们通过广泛的实验证明了我们提出的解决方案的可行性。