A Review of Attribute-Based Credentials for Secure and Privacy-Preserving Identity Management

Attribute-Based Credentials (ABCs) are cryptographic credential systems that enable holders to selectively disclose certified attributes or prove predicates over them, thereby supporting privacy-preserving identity verification while limiting unnecessary information exposure. This paper presents a review of the system model, core security and privacy properties, classification, comparative analysis, and practical deployment challenges of ABCs. It develops a two-dimensional taxonomy consisting of a construction dimension and an extension dimension. The construction dimension covers publicly verifiable signature-based, keyed-verification and MAC-based, and general-purpose ZKP-based ABC constructions, while the extension dimension covers issuer-hiding, threshold and multi-authority, and dynamic-lifecycle ABCs. The resulting comparison shows that these categories exhibit different trade-offs in verifier openness, proof flexibility, privacy guarantees, trust requirements, lifecycle support, and practical deployment requirements. The review further examines key challenges related to the efficiency and scalability of multi-attribute management, privacy-preserving credential lifecycle management, inference risks in selective disclosure, interoperability, post-quantum security, and holder binding. Finally, it synthesizes recent trends and identifies research directions toward efficient, interoperable, privacy-preserving, and practically deployable ABC systems that strengthen digital trust and support trustworthy digital identity infrastructures.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-08-28
DOI
https://doi.org/10.3390/electronics15173869
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Review of Attribute-Based Credentials for Secure and Privacy-Preserving Identity Management

Yuzhou Liu, Lina Wang, Yanyu Zhang, Gen Sun et al.
Electronics
Cryptography and Data Security
article

A Review of Attribute-Based Credentials for Secure and Privacy-Preserving Identity Management

Yuzhou Liu, Lina Wang, Yanyu Zhang, Gen Sun, Jingdu Lei, Chen Du
article en

Abstract

Attribute-Based Credentials (ABCs) are cryptographic credential systems that enable holders to selectively disclose certified attributes or prove predicates over them, thereby supporting privacy-preserving identity verification while limiting unnecessary information exposure. This paper presents a review of the system model, core security and privacy properties, classification, comparative analysis, and practical deployment challenges of ABCs. It develops a two-dimensional taxonomy consisting of a construction dimension and an extension dimension. The construction dimension covers publicly verifiable signature-based, keyed-verification and MAC-based, and general-purpose ZKP-based ABC constructions, while the extension dimension covers issuer-hiding, threshold and multi-authority, and dynamic-lifecycle ABCs. The resulting comparison shows that these categories exhibit different trade-offs in verifier openness, proof flexibility, privacy guarantees, trust requirements, lifecycle support, and practical deployment requirements. The review further examines key challenges related to the efficiency and scalability of multi-attribute management, privacy-preserving credential lifecycle management, inference risks in selective disclosure, interoperability, post-quantum security, and holder binding. Finally, it synthesizes recent trends and identifies research directions toward efficient, interoperable, privacy-preserving, and practically deployable ABC systems that strengthen digital trust and support trustworthy digital identity infrastructures.

ElectronicsVol. 15(17)
Nanjing University of Information Science and Technology (CN), Nanjing University of Posts and Telecommunications (CN), Coal Industry Jinan Design & Research Institute (China) (CN), China Shenhua Energy (China) (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Cryptography and Data Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.