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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Improved Compression Technique for Signatures Based on Learning with Errors
verfasst von : Shi Bai, Steven D. Galbraith
Erschienen in: Topics in Cryptology – CT-RSA 2014
Verlag: Springer International Publishing
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We present a new approach to the compression technique of Lyubashevsky et al. [17,13] 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.