Privacy-Preserving Digital Vaccine Passport

Thai Duong, Jiahui Gao, Duong Hieu Phan, Ni Trieu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The global lockdown imposed during the Covid-19 pandemic has resulted in significant social and economic challenges. In an effort to reopen economies and simultaneously control the spread of the disease, the implementation of contact tracing and digital vaccine passport technologies has been introduced. While contact tracing methods have been extensively studied and scrutinized for security concerns through numerous publications, vaccine passports have not received the same level of attention in terms of defining the problems they address, establishing security requirements, or developing efficient systems. Many of the existing methods employed currently suffer from privacy issues. This work introduces PPass, an advanced digital vaccine passport system that prioritizes user privacy. We begin by outlining the essential security requirements for an ideal vaccine passport system. To address these requirements, we present two efficient constructions that enable PPass to function effectively across various environments while upholding user privacy. By estimating its performance, we demonstrate the practical feasibility of PPass. Our findings suggest that PPass can efficiently verify a passenger’s vaccine passport in just 7 milliseconds, with a modest bandwidth requirement of 480 KB.

Original languageEnglish (US)
Title of host publicationCryptology and Network Security - 22nd International Conference, CANS 2023, Proceedings
EditorsJing Deng, Vladimir Kolesnikov, Alexander A. Schwarzmann
PublisherSpringer Science and Business Media Deutschland GmbH
Pages137-161
Number of pages25
ISBN (Print)9789819975624
DOIs
StatePublished - 2023
Event22nd International Conference on Cryptology and Network Security, CANS 2023 - Augusta, United States
Duration: Oct 31 2023Nov 2 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14342 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Cryptology and Network Security, CANS 2023
Country/TerritoryUnited States
CityAugusta
Period10/31/2311/2/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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