论文标题
PPContActTracing：COVID-19大流行的隐私触点示踪协议
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic
论文作者
论文摘要
已经提出并实施了几种接触式追踪解决方案，以打击Covid-19-19的大流行的传播。但是，这些解决方案中的大多数危害了个人的隐私权，并阻碍了他们广泛的采用。我们提出了一种保护隐私的接触追踪方案，以有效地追踪全球大流行的传播。它基于私有集合（PSI）协议，并利用同构属性在单个层面上保留隐私。已经采用了用于维持协议效率的查询数量的景观和限制因素的层次模型。
Several contact tracing solutions have been proposed and implemented all around the globe to combat the spread of COVID-19 pandemic. But, most of these solutions endanger the privacy rights of the individuals and hinder their widespread adoption. We propose a privacy-preserving contact tracing protocol for the efficient tracing of the spread of the global pandemic. It is based on the private set intersection (PSI) protocol and utilizes the homomorphic properties to preserve the privacy at the individual level. A hierarchical model for the representation of landscapes and rate-limiting factor on the number of queries have been adopted to maintain the efficiency of the protocol.
