论文标题
关于盲人接触的注释,并应用于COVID-19大流行
A note on blind contact tracing at scale with applications to the COVID-19 pandemic
论文作者
论文摘要
当前的Covid-19大流行重点介绍了接触追踪的实用性,与案例隔离和社会疏远相结合,作为减轻疾病传播的重要工具[1]。接触跟踪提供了一种机制,可以识别具有先前暴露感染疾病的可能性很可能的个体,从而可以采取其他预防措施以防止继续传播。在这里,我们考虑了一种基于安全的两党计算(2PC)的加密方法来接触跟踪。首先,我们考虑了比较两方拥有的一组位置历史的问题,以确定它们是否在某个阈值距离内,同时保持位置历史的隐私。我们使用预共享密钥提出了解决此问题的解决方案,该密钥是根据Ishai等人[2]引起的相等性测试方案所改编的。我们讨论如何使用该协议在实际的联系跟踪方案中维护隐私,包括基于应用程序的方法和方法利用电信和互联网服务提供商持有的位置历史记录。我们研究了这种方法的效率,并表明现有的基础架构足以支持国家一级的匿名联系人追踪。
The current COVID-19 pandemic highlights the utility of contact tracing, when combined with case isolation and social distancing, as an important tool for mitigating the spread of a disease [1]. Contact tracing provides a mechanism of identifying individuals with a high likelihood of previous exposure to a contagious disease, allowing additional precautions to be put in place to prevent continued transmission. Here we consider a cryptographic approach to contact tracing based on secure two-party computation (2PC). We begin by considering the problem of comparing a set of location histories held by two parties to determine whether they have come within some threshold distance while at the same time maintaining the privacy of the location histories. We propose a solution to this problem using pre-shared keys, adapted from an equality testing protocol due to Ishai et al [2]. We discuss how this protocol can be used to maintain privacy within practical contact tracing scenarios, including both app-based approaches and approaches which leverage location history held by telecoms and internet service providers. We examine the efficiency of this approach and show that existing infrastructure is sufficient to support anonymised contact tracing at a national level.