Analysis of error terms of signatures based on learning with errors격자 기반 서명의 오차항 분석

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dc.contributor.advisorHahn, Sang Geun-
dc.contributor.advisor한상근-
dc.contributor.authorKim, Jeongsu-
dc.date.accessioned2018-06-20T06:19:05Z-
dc.date.available2018-06-20T06:19:05Z-
dc.date.issued2017-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675245&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/243105-
dc.description학위논문(석사) - 한국과학기술원 : 수리과학과, 2017.2,[ii, 25 p. :]-
dc.description.abstractLyubashevsky 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.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectLattices-
dc.subjectdigital signature-
dc.subjectlearning with errors-
dc.subjectLWE-
dc.subjectdiscrete random variables-
dc.subjectdiscrete Gaussian distribution-
dc.subject격자-
dc.subject전자 서명-
dc.subject이산 확률 변수-
dc.subject이산 가우시안 분포-
dc.titleAnalysis of error terms of signatures based on learning with errors-
dc.title.alternative격자 기반 서명의 오차항 분석-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :수리과학과,-
dc.contributor.alternativeauthor김정수-
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