An alternate decomposition of an integer for faster point multiplication on certain elliptic curves

Young Ho Park, Sangtae Jeong, Chang Han Kim, Jong In Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

In this paper the Gallant-Lambert-Vanstone method is re-examined for speeding up scalar multiplication. Using the theory of μ-Euclidian algorithm, we provide a rigorous method to reduce the theoretical bound for the decomposition of an integer k in the endomorphism ring of an elliptic curve. We then compare the two different methods for decomposition through computational implementations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages323-334
Number of pages12
Volume2274
ISBN (Print)3540431683, 9783540431688
DOIs
Publication statusPublished - 2002
Event5th International Workshop on Practice and Theory in Public Key Cryptosystems, PKC 2002 - Paris, France
Duration: 2002 Feb 122002 Feb 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2274
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Workshop on Practice and Theory in Public Key Cryptosystems, PKC 2002
CountryFrance
CityParis
Period02/2/1202/2/14

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Park, Y. H., Jeong, S., Kim, C. H., & Lim, J. I. (2002). An alternate decomposition of an integer for faster point multiplication on certain elliptic curves. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2274, pp. 323-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2274). Springer Verlag. https://doi.org/10.1007/3-540-45664-3_23