论文标题
使用位置数据评估疾病暴露风险:隐私保护隐私的建议
Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy
论文作者
论文摘要
世界各地的政府和研究人员正在实施数字接触追踪解决方案,以阻止传染病的传播,即COVID-19。这些解决方案中有许多威胁到个人权利和隐私。我们的目标是超越有效与保护隐私的接触跟踪的错误二分法。我们提供另一种方法来评估和传达用户在保留个人隐私的同时,接触传染病的风险。我们的建议使用最近对GPS的位置历史进行了转换和加密,以及一种私人集相交协议与半信任的权威接口。 基于蓝牙和权力下放的,还有其他有关保护隐私联系跟踪的建议,可以进一步消除对权威的信任的需求。但是,具有蓝牙的解决方案目前仅限于某些设备和上下文,而权力下放则增加了复杂性。这项工作的目的是两个方面:我们旨在提出一个基于位置的系统,该系统比世界各地政府当前采用的系统更具有隐私性,并且在阻止病毒疫情所需的即时性时实施也是实用的。
Governments and researchers around the world are implementing digital contact tracing solutions to stem the spread of infectious disease, namely COVID-19. Many of these solutions threaten individual rights and privacy. Our goal is to break past the false dichotomy of effective versus privacy-preserving contact tracing. We offer an alternative approach to assess and communicate users' risk of exposure to an infectious disease while preserving individual privacy. Our proposal uses recent GPS location histories, which are transformed and encrypted, and a private set intersection protocol to interface with a semi-trusted authority. There have been other recent proposals for privacy-preserving contact tracing, based on Bluetooth and decentralization, that could further eliminate the need for trust in authority. However, solutions with Bluetooth are currently limited to certain devices and contexts while decentralization adds complexity. The goal of this work is two-fold: we aim to propose a location-based system that is more privacy-preserving than what is currently being adopted by governments around the world, and that is also practical to implement with the immediacy needed to stem a viral outbreak.