Formalising Linked-Data based Verifiable Credentials for Selective Disclosure

Dan Yamamoto, Yuji Suga, Kazue Sako

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

2 Citations (Scopus)

Abstract

In this paper, we propose a formal definition for Linked-Data based verifiable credential to enable secure selective disclosure among one or multiple verifiable creden-tials a user has. Previous schemes considered using a single verifiable credential and could not hide the user's identifying information when performing selective disclosure. We pro-pose the first Linked-Data based verifiable credentials that can perform selective disclosure free from the restrictions the previous scheme had, and prove its property. We also discuss a novel use of combining multiple certificates issued by independent issuers to still allow users to perform selective disclosure on the set of credentials. Our scheme has been implemented as an open source Web-based application that generates a verifiable presentation for a given selection of attributes. The performance evaluation is also provided in the paper.

Original languageEnglish
Title of host publicationProceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages52-65
Number of pages14
ISBN (Electronic)9781665495608
DOIs
Publication statusPublished - 2022
Event7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022 - Genoa, Italy
Duration: 2022 Jun 62022 Jun 10

Publication series

NameProceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022

Conference

Conference7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022
Country/TerritoryItaly
CityGenoa
Period22/6/622/6/10

Keywords

  • anonymous credentials
  • verifiable credentials
  • zero-knowledge proof

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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