论文标题
智能手表的流行病暴露通知:一种基于接近性的隐私方法
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach
论文作者
论文摘要
流行后世界的企业正在寻找创新的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跟踪快速停止局部感染暴发并防止进一步扩散方面发挥关键作用。在这项工作中,我们基于智能手表提供了可穿戴的接近性和暴露通知解决方案,该智能手表也可以促进业务,酒店或娱乐设施的安全远处。我们的基于邻近性的隐私联系跟踪(p $^3 $ ct)利用蓝牙低能技术(BLE)技术来可靠接近感应,以及用于保留身份的环境签名协议。接近感应利用接收的信号强度(RSS)来检测用户的相互作用,从而相对于被诊断出患有传染病的患者将其分类为低风险或高风险。更确切地说,在与患者的距离和时间方面,根据他们的相互作用,与患者的相互作用通知用户。我们的隐私权协议使用环境签名来确保用户的身份被匿名化。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。
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.