Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2019
Abstract
A designated verifier signature (DVS) allows a signer to convince a verifier that a message has been endorsed in a way that the conviction cannot be transferred to any third party. This is achieved by the property that the signature can be generated by one of them. Since DVS is publicly verifiable, a valid DVS implies that the signature must be created by either the signer or the verifier. To enhance privacy of signers' identity, a strong DVS (SDVS) disallows public verification. In this paper, we investigate various aspects of SDVS with making two contributions. Firstly, we consider SDVS in the multi-user setting and propose two strengthened models, namely, multi-user and multi-user+. To illustrate the significance of our models, we show that it is possible to forge an SDVS when the attacker is given signatures from an honest signer to multiple dishonest verifiers. Secondly, we give a generic construction of SDVS from Key Encapsulation Mechanism (KEM) and Pseudorandom Function (PRF) in the standard model. Our generic construction is secure in the multi-user setting if the underlying KEM and PRF are secure. We also give instantiations based on DDH and LWE assumptions respectively.
Keywords
Signature, SDVS, Standard Model, KEM, PostQuantu
Discipline
Information Security
Research Areas
Cybersecurity
Areas of Excellence
Digital transformation
Publication
Proceedings of the 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), Rotorua, New Zealand, August 5-8
First Page
586
Last Page
593
ISBN
9781728127781
Identifier
10.1109/trustcom/bigdatase.2019.00084
Publisher
IEEE
City or Country
Los Alamitos, CA
Citation
GONG, Borui; AU, Ho Man; and XUE, Haiyang.
Constructing strong designated verifier signatures from key encapsulation mechanisms. (2019). Proceedings of the 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), Rotorua, New Zealand, August 5-8. 586-593.
Available at: https://ink.library.smu.edu.sg/sis_research/9184
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/trustcom/bigdatase.2019.00084