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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2000507


Verifier-local revocation group signatures with backward unlinkability fromlattices


Author(s):  Yanhua ZHANG, Ximeng LIU, Yupu HU, Yong GAN, Huiwen JIA

Affiliation(s):  College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China; more

Corresponding email(s):   yhzhang@email.zzuli.edu.cn

Key Words:  Group signature, Lattice-based cryptography, Verifier-local revocation, Backward unlikability, Short integer solution


Yanhua ZHANG, Ximeng LIU, Yupu HU, Yong GAN, Huiwen JIA. Verifier-local revocation group signatures with backward unlinkability fromlattices[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Yanhua ZHANG, Ximeng LIU, Yupu HU, Yong GAN, Huiwen JIA",
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year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000507"
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%A Yanhua ZHANG
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%A Yupu HU
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Abstract: 
For group signature (GS) supporting membership revocation, verifier-local revocation (VLR) mechanism seems to be a more flexible choice, because it only requires verifiers to download up-to-date revocation information for signature verification, and the signers are not involved. As a post-quantum secure cryptographic counterpart of classical number-theoretic cryptographic constructions, the first lattice-based VLR group signature (VLR-GS) was introduced by Langlois et al. (2014). However, none of the contemporary lattice-based VLR-GS schemes provide backward unlinkability (BU), which is an important property to ensure that previously issued signatures remain anonymous and unlinkable even after the corresponding signer (i.e., member) is revoked. In this study, we introduce the first lattice-based VLR-GS scheme with BU security (VLR-GS-BU), and thus, resolve a prominent open problem posed by previous works. In the random oracle model, our scheme is proven secure under two well-known hardness assumptions of the short integer solution (SIS) problem and learning with errors (LWE) problem.

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