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Analysis of Error Terms of Signatures Based on Learning with Errors
- 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.
- Subjects :
- Key generation
Theoretical computer science
Acceptance rate
0102 computer and information sciences
02 engineering and technology
01 natural sciences
Digital signature
010201 computation theory & mathematics
Lattice (order)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Algorithm
Random variable
Learning with errors
Mathematics
Subjects
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