A Modular Zero-Knowledge Credential Framework for Multi-System Attribute Verification with Scoped Unlinkability and Efficient Accumulator-Based Revocation

This paper presents a modular zero-knowledge credential framework designed for attribute verification across multiple systems, with a focus on maintaining unlinkability and supporting efficient revocation. The framework combines well-established cryptographic techniques, including Pedersen commitments, Sigma protocols, and RSA accumulators, to enable authentication without revealing sensitive user information.It allows users to selectively disclose attributes while preventing different verifiers from linking their activities. At the same time, it supports efficient revocation without relying on a trusted setup. Overall, the proposed framework is practical and well-suited for real-world deployment in privacy-preserving identity systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-30
DOI
https://doi.org/10.5281/zenodo.19908469
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A Modular Zero-Knowledge Credential Framework for Multi-System Attribute Verification with Scoped Unlinkability and Efficient Accumulator-Based Revocation

Sayan Singha Roy, Anik Bhowmick, Abir Rakshit, Sayan Bairagi
Zenodo (CERN European Organization for Nuclear Research)
Cryptography and Data Security
article

A Modular Zero-Knowledge Credential Framework for Multi-System Attribute Verification with Scoped Unlinkability and Efficient Accumulator-Based Revocation

Sayan Singha Roy, Anik Bhowmick, Abir Rakshit, Sayan Bairagi
article en

Abstract

This paper presents a modular zero-knowledge credential framework designed for attribute verification across multiple systems, with a focus on maintaining unlinkability and supporting efficient revocation. The framework combines well-established cryptographic techniques, including Pedersen commitments, Sigma protocols, and RSA accumulators, to enable authentication without revealing sensitive user information.It allows users to selectively disclose attributes while preventing different verifiers from linking their activities. At the same time, it supports efficient revocation without relying on a trusted setup. Overall, the proposed framework is practical and well-suited for real-world deployment in privacy-preserving identity systems.

Zenodo (CERN European Organization for Nuclear Research)
Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Cryptography and Data Security
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A Modular Zero-Knowledge Credential Framework for Multi-System Attribute Verification with Scoped Unlinkability and Efficient Accumulator-Based Revocation — Sayan Singha Roy, Anik Bhowmick, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS