论文标题
保存隐私联系跟踪的机密计算
Confidential Computing for Privacy-Preserving Contact Tracing
论文作者
论文摘要
接触跟踪对于与大流行作斗争至关重要，但它带来了合法的隐私问题。本文提出了一个系统，可以同时进行跟踪和数据隐私。 我们建议使用英特尔SGX受信任的执行环境来构建隐私的联系人跟踪后端。虽然本文提出的机密计算后端的概念可以与任何现有的联系人跟踪智能手机应用程序结合使用，但我们描述了一个完整的触点跟踪系统，以进行演示目的。 作者在黑客马拉松中实施了基于SGX的隐私联系跟踪系统的原型。
Contact tracing is paramount to fighting the pandemic but it comes with legitimate privacy concerns. This paper proposes a system enabling both, contact tracing and data privacy. We propose the use of the Intel SGX trusted execution environment to build a privacy-preserving contact tracing backend. While the concept of a confidential computing backend proposed in this paper can be combined with any existing contact tracing smartphone application, we describe a full contact tracing system for demonstration purposes. A prototype of a privacy-preserving contact tracing system based on SGX has been implemented by the authors in a hackathon.
