论文标题
基于蓝牙的邻近性，多跳分析和双向信任：流行病等
Bluetooth based Proximity, Multi-hop Analysis and Bi-directional Trust: Epidemics and More
论文作者
论文摘要
在本文中，我们在蓝牙和类似的无线通信技术的顶部提出了一个信任层，该技术可以形成网络网络。该层作为协议启用基于在移动设备网络中多个啤酒花中消息的接近和双向传输的计算信任分数。我们描述了确定这些信任分数的因素和方法，并通过改进接触追踪，更好的隐私和验证来确定其在流行期间的应用，以在众多基于蓝牙和GPS的移动应用程序中开发出来以跟踪差异的敏感数据共享。
In this paper, we propose a trust layer on top of Bluetooth and similar wireless communication technologies that can form mesh networks. This layer as a protocol enables computing trust scores based on proximity and bi-directional transfer of messages in multiple hops across a network of mobile devices. We describe factors and an approach for determining these trust scores and highlight its applications during epidemics such as COVID-19 through improved contact-tracing, better privacy and verification for sensitive data sharing in the numerous Bluetooth and GPS based mobile applications that are being developed to track the spread.
