A novel approach to privacy and traceability using attribute-based signature in decentralized identifier

This paper proposes a novel scheme that enhances privacy and ensures accountability by mitigating signature-based correlation risks in decentralized identifiers (DIDs). Existing DIDs often rely on traditional digital signatures, making them vulnerable to attacks that link user identities across transactions. Our proposed scheme leverages attribute-based signatures (ABS) to provide anonymous authentication, preventing such correlation and protecting user privacy. To deter the abuse of anonymity, it incorporates a traceability mechanism, enabling authorized entities to trace a user’s DID when necessary. The scheme’s security, including anonymity and traceability, is formally proven under the random oracle model.

Authors

Publication Details

Journal
High-Confidence Computing
Published
2025-05-27
DOI
https://doi.org/10.1016/j.hcc.2025.100326
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A novel approach to privacy and traceability using attribute-based signature in decentralized identifier

Im-Yeong Lee, Dong‐Jun Seo, Taehoon Kim, Suhyun Kim
High-Confidence Computing
Cryptography and Data Security
article

A novel approach to privacy and traceability using attribute-based signature in decentralized identifier

Im-Yeong Lee, Dong‐Jun Seo, Taehoon Kim, Suhyun Kim
article en

Abstract

This paper proposes a novel scheme that enhances privacy and ensures accountability by mitigating signature-based correlation risks in decentralized identifiers (DIDs). Existing DIDs often rely on traditional digital signatures, making them vulnerable to attacks that link user identities across transactions. Our proposed scheme leverages attribute-based signatures (ABS) to provide anonymous authentication, preventing such correlation and protecting user privacy. To deter the abuse of anonymity, it incorporates a traceability mechanism, enabling authorized entities to trace a user’s DID when necessary. The scheme’s security, including anonymity and traceability, is formally proven under the random oracle model.

High-Confidence ComputingVol. 5(4)
Reduced inequalities
Openalex Percentile: Top 95%
Cryptography and Data Security
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A novel approach to privacy and traceability using attribute-based signature in decentralized identifier — Im-Yeong Lee, Dong‐Jun Seo, et al. · High-Confidence Computing (2025) | TGRS Research Map | TGRS