Paper 2025/1724
Efficient Aggregate Anonymous Credentials for Decentralized Identity
Abstract
Anonymous credential schemes allow users to prove claims about themselves in a privacy-preserving manner. Put simply, a user can prove that she has an attribute value (e.g., she is a citizen) without revealing any other information about herself. Traditional schemes (including those with multiple credential issuers) operate under the assumption that each recognized issuer produces credentials for all user attributes. This assumption, however, is not practical: in the real world, no such issuer exists; an identity provider today issues a user credentials for a subset of user attributes, not all. A promising approach to support this setting is aggregate anonymous credentials, which allow a user to receive credentials from several issuers such that she can aggregate them and prove various claims about her attribute values in one shot. In this paper, we first introduce what we call aggregate tag-based signatures and describe an efficient instantiation. We then leverage the latter together with structure-preserving signatures and signatures of knowledge to construct an efficient aggregate anonymous credential scheme. We finally, formally evaluate the security of the proposed schemes and run benchmarks to showcase the practicality of the resulting scheme and its relevance for decentralized identity applications.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Preprint.
- Keywords
- anonymous credentialsaggregate signatures
- Contact author(s)
- rebekah mercer @ ibm com
- History
- 2025-11-25: revised
- 2025-09-22: received
- See all versions
- Short URL
- https://ia.cr/2025/1724
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2025/1724,
author = {Rebekah Mercer and Kaoutar El Khiyaoui and Angelo De Caro and Elli Androulaki},
title = {Efficient Aggregate Anonymous Credentials for Decentralized Identity},
howpublished = {Cryptology {ePrint} Archive, Paper 2025/1724},
year = {2025},
url = {https://eprint.iacr.org/2025/1724}
}