Privacy-Preserving Infection Exposure Notification without Trust in Third Parties
Kenji Saito, Mitsuru Iwamura

TL;DR
This paper proposes a privacy-preserving COVID-19 exposure notification system that does not rely on trust in third parties, using blockchain and blind signatures to enhance privacy and verifiability.
Contribution
It introduces a novel contact tracing mechanism that replaces trusted third parties with blockchain and cryptographic techniques for improved privacy and trustworthiness.
Findings
Higher verifiability of privacy protections with the proposed design
Use of blockchain for reporting positive cases enhances transparency
Application-side random number generation improves privacy
Abstract
In response to the COVID-19 pandemic, Bluetooth-based contact tracing has been deployed in many countries with the help of the developers of smartphone operating systems that provide APIs for privacy-preserving exposure notification. However, it has been assumed by the design that the OS developers, smartphone vendors, or governments will not violate people's privacy. We propose a privacy-preserving exposure notification under situations where none of the middle entities can be trusted. We believe that it can be achieved with small changes to the existing mechanism: random numbers are generated on the application side instead of the OS, and the positive test results are reported to a public ledger (e.g. blockchain) rather than to a government server, with endorsements from the medical institutes with blind signatures. We also discuss how to incentivize the peer-to-peer maintenance of…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · Privacy, Security, and Data Protection · Privacy-Preserving Technologies in Data
