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Paper 2017/698

Noise Distributions in Homomorphic Ring-LWE

Sean Murphy and Rachel Player

Abstract

We develop a statistical framework to analyse the Ring-LWE processes of A Toolkit for Ring-LWE Cryptography (Eurocrypt 2013) and similar processes. We consider the $\delta$-subgaussian random variables used in the Toolkit and elsewhere in the literature, and we give a simple and complete characterisation of such random variables. We then apply our results to the homomorphic cryptosystem provided as an example application in the Toolkit. We show that the $\delta$-subgaussian approach as used in the Toolkit to argue correctness of this cryptosystem is flawed, and we also rectify this analysis using our developed statistical framework.

Metadata
Available format(s)
PDF
Publication info
Preprint. MINOR revision.
Keywords
Ring Learning with ErrorsSubgaussian Random VariableHomomorphic Encryption.
Contact author(s)
s murphy @ rhul ac uk
History
2019-04-04: last of 4 revisions
2017-07-21: received
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Short URL
https://ia.cr/2017/698
License
Creative Commons Attribution
CC BY
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