z-logo
open-access-imgOpen Access
Speeding up regular elliptic curve scalar multiplication without precomputation
Author(s) -
Kwang Ho Kim,
Junyop Choe,
Song Yun Kim,
Namsu Kim,
Sekung Hong
Publication year - 2020
Publication title -
advances in mathematics of communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.601
H-Index - 26
eISSN - 1930-5346
pISSN - 1930-5338
DOI - 10.3934/amc.2020090
Subject(s) - scalar multiplication , mathematics , elliptic curve , precomputation , scalar (mathematics) , binary number , edwards curve , arithmetic , elliptic curve point multiplication , binary operation , finite field , discrete mathematics , pure mathematics , algorithm , schoof's algorithm , geometry , computation , quarter period
This paper presents a series of Montgomery scalar multiplication algorithms on general short Weierstrass curves over fields with characteristic greater than 3, which need only 12 field multiplications per scalar bit using 8 \begin{document}$ \sim $\end{document} 9 field registers, thus outperform the binary NAF method on average. Over binary fields, the Montgomery scalar multiplication algorithm which was presented at the first CHES workshop by Lopez and Dahab has been a favorite of ECC implementors, due to its nice properties such as high efficiency (outperforming the binary NAF), natural SPA-resistance, generality (coping with all ordinary curves) and implementation easiness. Over odd characteristic fields, the new scalar multiplication algorithms are the first ones featuring all these properties. Building-blocks of our contribution are new efficient differential addition-and-doubling formulae and a novel conception of on-the-fly adaptive coordinates which varies in accordance with not only the base point but also the bits of the given scalar.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom