Gaussian 2 Stages sample numbers

A tétel rövid nézete
dc.contributor.advisorHerendi, Tamás
dc.contributor.authorShakhshir, Amjad
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2019-11-27T09:25:37Z
dc.date.available2019-11-27T09:25:37Z
dc.date.created2019-11-27
dc.description.abstractRecently cryptographic systems such as Lattice-Based public key demands normal distributions sampling (Discrete Gaussian). We review improved algorithms to implement it using Gaussian sampling efficiently on constrained devices with small storage capacity and using BLISS without large precomputed tables. This thesis discuss the lattice-based encryption crypto primitives, signature schemes and their requirements for sampling from discrete Gaussians and survey their performance on different platforms. Finallyhu_HU
dc.description.correctorN.I.
dc.description.courseComputer Sciencehu_HU
dc.description.degreeegységes, osztatlanhu_HU
dc.format.extent29hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/276923
dc.language.isoenhu_HU
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectcryptographyhu_HU
dc.subjectGaussian Distributionhu_HU
dc.subjectBLISShu_HU
dc.subjectDistribution samplinghu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleGaussian 2 Stages sample numbershu_HU
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