2023-06-12 AnonCreds v2.0 Working Group Meeting

Summary

• Update on AnonCreds Happenings
• Discussion: Modularity in the Underlying Signature Schemes - Mike Lodder
• Understandable names for schema types
• Presentation Data Models
• Open Discussion

Recording of Call:  

Notices: 

This specification creating group operates under the Linux Foundation Community Specification License v1.0.

Meeting Attendees

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

Related Repositories:

• Mike Lodder's proposed Data Models: https://hackmd.io/ZlsnLoclSveePJOZljgMfA
• AnonCreds v2.0 Specification Repository: https://github.com/hyperledger/anoncreds-spec-v2/
• AnonCreds v1.0 Specification: https://hyperledger.github.io/anoncreds-spec/
• AnonCreds Methods Registry: https://hyperledger.github.io/anoncreds-methods-registry
• AnonCreds Rust Open Source Code: https://github.com/hyperledger/anoncreds-rs

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:

• Welcome and Introductions
• Announcements:
  • 2023.05.15 (this Thursday): Presentation: ZKPs – the High School Math Edition - Stephen Curran at the Identity SIG Meeting
• Updates to the Agenda?

Agenda

• Update on AnonCreds Happenings
• Discussion: Modularity in the Underlying Signature Schemes - Mike Lodder
  • AnonCreds v2.0 could use one of four (CL, BLS, BBS, and PS) signatures schemes at the moment. How does that work?
• Purposes/use cases for the Schema Types proposed for AnonCreds v2.0, with a goal of leading to same names for the different types:
  • Enumeration
    • Hashed
    • Numeric
    • Scalar
  • String
  • Unsigned Byte/Binary
    • Hashed: claim data is hashed before signing
    • Numeric: claim data is zero centered before signing
    • Scalar: claim data is already a cryptographic value. Equivalent to a null hash
• Proposed Presentation Data Models, based on what Mike Lodder has presented and documented here: https://hackmd.io/ZlsnLoclSveePJOZljgMfA

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