WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing
WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing
复制标题
WiFiTrace：使用被动 WiFi 传感进行基于网络的传染病接触者追踪
DOI：
10.1145/3448084
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Shenoy, Prashant
中科院分区：
文献类型：
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作者：
Trivedi, Amee;Zakaria, Camellia;Balan, Rajesh;Becker, Ann;Corey, George;Shenoy, Prashant
接触者追踪是遏制传染病传播的一个行之有效的办法。虽然使用电话的基于蓝牙的联系人跟踪方法最近变得流行，但这些方法需要大量采用才能有效。在本文中，我们提出了WiFiTrace，一种以网络为中心的接触跟踪方法，依赖于无客户端参与的被动WiFi传感。我们的方法利用企业网络收集的WiFi网络日志进行性能和安全监控，并利用它们重建设备轨迹以进行接触者追踪。我们的方法是专门设计来提高传统方法的有效性，而不是用新技术取代它们。我们设计了一个高效的图算法，将我们的方法扩展到拥有数万用户的大型网络。基于图的方法在内存中的性能比索引的PostgreSQL至少高出4.5倍，而没有任何索引更新开销或阻塞。我们已经实现了我们的系统的完整原型，并将其部署在两个大型大学校园。我们验证了我们的方法，并使用真实世界的WiFi数据集的案例研究和详细的实验证明了其有效性。
Contact tracing is a well-established and effective approach for the containment of the spread of infectious diseases. While Bluetooth-based contact tracing method using phones has become popular recently, these approaches suffer from the need for a critical mass adoption to be effective. In this paper, we present WiFiTrace, a network-centric approach for contact tracing that relies on passive WiFi sensing with no client-side involvement. Our approach exploits WiFi network logs gathered by enterprise networks for performance and security monitoring, and utilizes them for reconstructing device trajectories for contact tracing. Our approach is specifically designed to enhance the efficacy of traditional methods, rather than to supplant them with new technology. We designed an efficient graph algorithm to scale our approach to large networks with tens of thousands of users. The graph-based approach outperforms an indexed PostgresSQL in memory by at least 4.5X without any index update overheads or blocking. We have implemented a full prototype of our system and deployed it on two large university campuses. We validated our approach and demonstrate its efficacy using case studies and detailed experiments using real-world WiFi datasets.