Paper 2023/766 Original: eprint.iacr.org/2023/766 ↗

Lattice-based Commit-Transferrable Signatures and Applications to Anonymous Credentials

Qiqi Lai
Chongshen Chen
Feng-Hao Liu
Anna Lysyanskaya
Zhedong Wang
Abstract

Anonymous Credentials are an important tool to protect user's privacy for proving possession of certain credentials. Although various efficient constructions have been proposed based on pre-quantum assumptions, there have been limited accomplishments in the post-quantum and especially practical settings. This research aims to derive new methods that enhance the current state of the art. To achieve this, we make the following contributions. By distilling prior design insights, we propose a new primitive to instantiate \emph{signature with protocols}, called commit-transferrable signature (\CTS). When combined with a multi-theorem straight-line extractable non-interactive zero-knowledge proof of knowledge (\NIZKPoK), $\CTS$ gives a modular approach to construct anonymous credentials. We then show efficient instantiations of $\CTS$ and the required \NIZKPoK from lattices, which are believed to be post-quantum hard. Finally, we propose concrete parameters for the $\CTS$, \NIZKPoK, and the overall Anonymous Credentials, based on Module-\SIS~and Ring-\LWE. This would serve as an important guidance for future deployment in practice.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
History
2023-10-10: last updated
2023-05-26: published
Short URL
https://ia.cr/2023/766
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2023/766,
      author = {Qiqi Lai and Chongshen Chen and Feng-Hao Liu and Anna Lysyanskaya and Zhedong Wang},
      title = {Lattice-based Commit-Transferrable Signatures and Applications to Anonymous Credentials},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/766},
      year = {2023},
      url = {https://eprint.iacr.org/2023/766}
}
Note: In order to protect the privacy of readers, this archive does not use cookies or embedded third party content.