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Summary

  • Presentation Data Models
  • Predicate Types
  • Open Discussion

Recording of Call:  

Notices: 

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Meeting Attendees

Stephen Curran (BC Gov / Cloud Compass Computing Inc.) <swcurran@cloudcompass.ca>


Related Repositories:

Goals of the Working Group:

The goal of AnonCreds v2.0 is to retain and extend the privacy-preserving features of AnonCreds v1.0, while improving capabilities, performance, extensibility, and security.

Meeting Preliminaries:

Agenda

  • Proposed Presentation Data Models, based on what Mike Lodder has presented and documented here: https://hackmd.io/ZlsnLoclSveePJOZljgMfA
  • Review of Predicates
    • For each – what Schema Claim Types can/must be used? 
    • Hide signature – proof of signature (unlinkable)
    • Hide attribute - reveal or hide - Schnorr Proof
    • Set memberships, such as
      • Zip/postal Code
      • State
      • City
      • Accumulator
    • Commitment - same value
    • Range Proof
    • Verifiable Encryption
    • Commitment
    • Not discussed: Claim equality across credentials (e.g. proof that the claims in two credentials are the same without sharing the value)
  • Schema Claim Type:
    • Would it make sense defining date related schema claim types that are especially useful to use in ZKP predicates?
      • "iso860_date" – encodes to dateint e.g., 2023.06.26 is 20230626
      • "iso860_datetime" - encodes to Unix Time e.g., seconds since Jan 1, 1970

Future Calls

  • Collect some use case specific examples and continue the discussions:
    • Applying the data structures to a real use case or two
      • Take an existing AnonCreds Schema (maybe this) and Credential Definition (maybe this) and define what it would be using Mike's proposed data models.
        • Where would the data models exist, such as on ledger, in the AnonCreds specification?
    • What concrete uses other than link-secret is there for blinded data in a credential?

To Dos:

Action items




















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