Confidential Computing for Privacy-Preserving Contact Tracing

• URL: http://arxiv.org/abs/2006.14235v1
• Date: Thu, 25 Jun 2020 08:06:23 GMT
• Title: Confidential Computing for Privacy-Preserving Contact Tracing
• Authors: David Sturzenegger, Aetienne Sardon, Stefan Deml, Thomas Hardjono
• Abstract summary: We propose the use of the Intel SGX trusted execution environment to build a privacy-preserving contact tracing backend. A prototype of a privacy-preserving contact tracing system based on SGX has been implemented by the authors in a hackathon.
• Score: 0.18434042562191807
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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