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International Conference on Cryptology and Information Security in Latin America

LATINCRYPT 2012: Progress in Cryptology – LATINCRYPT 2012 pp 139–158Cite as

Towards Efficient Arithmetic for Lattice-Based Cryptography on Reconfigurable Hardware

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7533))

Abstract

In recent years lattice-based cryptography has emerged as quantum secure and theoretically elegant alternative to classical cryptographic schemes (like ECC or RSA). In addition to that, lattices are a versatile tool and play an important role in the development of efficient fully or somewhat homomorphic encryption (SHE/FHE) schemes. In practice, ideal lattices defined in the polynomial ring ℤ p [x]/〈x n + 1〉 allow the reduction of the generally very large key sizes of lattice constructions. Another advantage of ideal lattices is that polynomial multiplication is a basic operation that has, in theory, only quasi-linear time complexity of \({\mathcal O}(n \log{n})\) in ℤ p [x]/〈x n + 1〉. However, few is known about the practical performance of the FFT in this specific application domain and whether it is really an alternative. In this work we make a first step towards efficient FFT-based arithmetic for lattice-based cryptography and show that the FFT can be implemented efficiently on reconfigurable hardware. We give instantiations of recently proposed parameter sets for homomorphic and public-key encryption. In a generic setting we are able to multiply polynomials with up to 4096 coefficients and a 17-bit prime in less than 0.5 milliseconds. For a parameter set of a SHE scheme (n=1024,p=1061093377) our implementation performs 9063 polynomial multiplications per second on a mid-range Spartan-6.

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Authors and Affiliations

  1. Horst Görtz Institute for IT-Security, Ruhr-University Bochum, Germany

    Thomas Pöppelmann & Tim Güneysu

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  1. Thomas Pöppelmann
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  2. Tim Güneysu
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  1. Department of Computer Science, University of Chile, Blanco Encalada 2120, Tercer Piso, Santiago, Chile

    Alejandro Hevia

  2. IBM Research - Zürich, Säumerstrasse 4, 8803, Rüschlikon, Switzerland

    Gregory Neven

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Pöppelmann, T., Güneysu, T. (2012). Towards Efficient Arithmetic for Lattice-Based Cryptography on Reconfigurable Hardware. In: Hevia, A., Neven, G. (eds) Progress in Cryptology – LATINCRYPT 2012. LATINCRYPT 2012. Lecture Notes in Computer Science, vol 7533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33481-8_8

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