ZKlaims: Privacy-preserving Attribute-based Credentials using Non-interactive Zero-knowledge Techniques
This addresses privacy and decentralization challenges in identity management for users and services, though it is incremental as it builds on existing SNARK techniques.
The paper tackles the problem of privacy-preserving attribute-based credentials by introducing ZKlaims, a system that uses SNARKs to enable zero-knowledge proofs without revealing credential contents, achieving non-interactive presentation for use in decentralized networks like DHTs or blockchains, with performance evaluation included.
In this paper we present ZKlaims: a system that allows users to present attribute-based credentials in a privacy-preserving way. We achieve a zero-knowledge property on the basis of Succinct Non-interactive Arguments of Knowledge (SNARKs). ZKlaims allow users to prove statements on credentials issued by trusted third parties. The credential contents are never revealed to the verifier as part of the proving process. Further, ZKlaims can be presented non-interactively, mitigating the need for interactive proofs between the user and the verifier. This allows ZKlaims to be exchanged via fully decentralized services and storages such as traditional peer-to-peer networks based on distributed hash tables (DHTs) or even blockchains. To show this, we include a performance evaluation of ZKlaims and show how it can be integrated in decentralized identity provider services.