[Resource Topic] 2013/838: An improved compression technique for signatures based on learning with errors

Welcome to the resource topic for 2013/838

Title:
An improved compression technique for signatures based on learning with errors

Authors: Shi Bai, Steven D. Galbraith

Abstract:

We present a new approach to the compression technique of Lyubashevsky et al for lattice-based signatures based on learning with errors (LWE). Our ideas seem to be particularly suitable for signature schemes whose security, in the random oracle model, is based on standard worst-case computational assumptions. Our signatures are shorter than any previous proposal for provably-secure signatures based on standard lattice problems: at the 128-bit level we improve signature size from (more than) 16500 bits to around 9000 to 12000 bits.

ePrint: https://eprint.iacr.org/2013/838

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