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Analysis of Error Terms of Signatures Based on Learning with Errors

机译:基于错误学习的签名错误术语分析

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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.
机译:Lyubashevsky提出了一种基于短整数解决方案(SIS)问题的基于格的数字签名方案,而不使用陷门矩阵[12]。 Bai和Galbraith证明,Lyubashevsky方案中的难题可以从SIS更改为SIS并可以从错误中学习(LWE)[4]。使用此更改,他们可以压缩签名。但是Bai和Galbraith的方案在其算法上还有一些其他的拒绝过程。这些拒绝过程降低了签名算法的接受率。我们从数学上证明,[4]的密钥生成算法中的拒绝过程是不必要的。利用这一事实,我们提出了一种对[4]方案进行修改的方案,并将签名算法的接受率提高了一倍。此外,我们的实现结果表明,在相似的参数设置下,我们的方案比[4]的方案快两倍。

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