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: https://youtu.be/qAkODMA3dgc
Notices:
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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?
As with CL Signatures, data is encoded as numbers
The additional Schema Claim data allows for "improved" encoding – e.g. zero centring integer data
The signature type and the Schema Claim data determine exactly what is needed per claim to enable comparable presentation ZKP capabilities.
These will have to be defined in the specification – e.g.
the requirements of the cryptography for the features, and,
for specific signatures to be supported (perhaps BBS+ and PS), the details of using those signatures
Purposes/use cases for the Schema Types proposed for AnonCreds v2.0, with a goal of leading to some useful 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
Predicates:
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).
Future Calls
Collect some use case specific examples and continue the discussions:
Applying the data structures to a real use case or two
What concrete uses other than link-secret is there for blinded data in a credential?
To Dos:
Action items