Cryptology ePrint Archive: Report 2017/163

Homomorphic Encryption without Gaussian Noise

Anamaria Costache and Nigel P. Smart

Abstract: We propose a Somewhat Homomorphic Encryption (SHE) scheme based on the Learning With Rounding (LWR) problem. The LWR problem is somewhat similar to the more classical Learning With Errors (LWE) and was proposed as a deterministic variant of it and setting up an LWR instance does not require the generation of gaussian noise. Thus our SHE scheme can be instantiated without the need for expensive Gaussian noise sampling. Our initial scheme provides lower ciphertext sizes for small plaintext spaces than existing leading schemes such as BGV.

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Date: received 20 Feb 2017

Contact author: anamaria costache at bristol ac uk,nigel@cs bris ac uk

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Version: 20170223:140236 (All versions of this report)

Short URL: ia.cr/2017/163

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