NEON-SIDH: Efficient Implementation of Supersingular Isogeny Diffie-Hellman Key Exchange Protocol on ARM

  • Brian Koziel
  • Amir Jalali
  • Reza Azarderakhsh
  • David Jao
  • Mehran Mozaffari-Kermani
Conference paper

DOI: 10.1007/978-3-319-48965-0_6

Volume 10052 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Koziel B., Jalali A., Azarderakhsh R., Jao D., Mozaffari-Kermani M. (2016) NEON-SIDH: Efficient Implementation of Supersingular Isogeny Diffie-Hellman Key Exchange Protocol on ARM. In: Foresti S., Persiano G. (eds) Cryptology and Network Security. CANS 2016. Lecture Notes in Computer Science, vol 10052. Springer, Cham

Abstract

We investigate the efficiency of implementing the Jao and De Feo isogeny-based post-quantum key exchange protocol (from PQCrypto 2011) on ARM-powered embedded platforms. In this work we propose new primes to speed up constant-time finite field arithmetic and perform isogenies quickly. Montgomery multiplication and reduction are employed to produce a speedup of 3 over the GNU Multiprecision Library. We analyze the recent projective isogeny formulas presented in Costello et al. (Crypto 2016) and conclude that affine isogeny formulas are much faster in ARM devices. We provide fast affine SIDH libraries over 512, 768, and 1024-bit primes. We provide timing results for emerging embedded ARM platforms using the ARMv7A architecture for the 85-, 128-, and 170-bit quantum security levels. Our assembly-optimized arithmetic cuts the computation time for the protocol by 50 % in comparison to our portable C implementation and performs approximately 3 times faster than the only other ARMv7 results found in the literature. The goal of this paper is to show that isogeny-based cryptosystems can be implemented further and be used as an alternative to classical cryptosystems on embedded devices.

Keywords

Elliptic curve cryptography Post-quantum cryptography Isogeny-based cryptosystems ARM embedded processors Finite-field arithmetic Assembly implementation 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Brian Koziel
    • 1
  • Amir Jalali
    • 2
  • Reza Azarderakhsh
    • 3
  • David Jao
    • 4
  • Mehran Mozaffari-Kermani
    • 5
  1. 1.Texas InstrumentsWylieUSA
  2. 2.CE DepartmentRITRochesterUSA
  3. 3.CEECS Department and I-SENSE FAUBoca RatonUSA
  4. 4.C&O DepartmentUniversity of WaterlooWaterlooCanada
  5. 5.EME DepartmentRITRochesterUSA