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Analysis of Error Terms of Signatures Based on Learning with Errors

Authors :
Jeongsu Kim
Suyong Park
Sangim Jung
Dongyoung Roh
Seonggeun Kim
Sang Geun Hahn
Busik Jang
Source :
Information Security and Cryptology – ICISC 2016 ISBN: 9783319531762, ICISC
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

Lyubashevsky proposed a lattice-based digital signature scheme based on short integer solution SIS problem without using trapdoor matrices [12]. Bai and Galbraith showed that the hard problem in Lyubashevsky's scheme can be changed from SIS to SIS and learning with errors LWE [4]. Using this change, they could compress the signatures. But Bai and Galbraith's scheme had some additional rejection processes on its algorithms. These rejection processes decreased the acceptance rate of the signing algorithm. We showed mathematically that the rejection process in key generation algorithm of [4] is not necessary. Using this fact, we suggested a scheme modified from [4]'s scheme, and doubled the acceptance rate of the signing algorithm. Furthermore, our implementation results show that our scheme is two times faster than that of [4] on similar parameter settings.

Details

ISBN :
978-3-319-53176-2
ISBNs :
9783319531762
Database :
OpenAIRE
Journal :
Information Security and Cryptology – ICISC 2016 ISBN: 9783319531762, ICISC
Accession number :
edsair.doi...........c7a5730766de9bd1cfbda092ce680a83
Full Text :
https://doi.org/10.1007/978-3-319-53177-9_4