A hybrid addition chain method for faster scalar multiplication

Bibliographic Details
Format: Restricted Document
_version_ 1860796974612086784
building INTELEK Repository
caption WSEAS
collection Online Access
collectionurl https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
date 2015-06-30 12:45:32
format Restricted Document
id 10895
institution UniSZA
originalfilename 5033-01-FH02-FIK-16-04820.pdf
person I.F.G.
recordtype oai_dc
resourceurl https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10895
spelling 10895 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10895 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 9 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in I.F.G. 2015-06-30 12:45:32 WSEAS WSEAS 5033-01-FH02-FIK-16-04820.pdf UniSZA Private Access A hybrid addition chain method for faster scalar multiplication WSEAS Transactions on Communications Solutions to addition chain problem can be applied to operations involving huge number such as scalar multiplication in elliptic curve cryptography. Recently, a decomposition method was introduced, with an intention to generate addition chain with minimal possible terms. Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. Although the chain is not always optimal, the method is shown to outclass other existing methods for certain cases of n. The method is based on prime power decomposition and it can be seen as a two-layered approach, prime layer and prime power layer. In this paper, we adapt an idea of non-adjacent form into decomposition method at prime layer. This new hybrid method is called signed decomposition method. Our objective is to reduce the number of addition operations for each p by transforming an original unsigned rule into a signed rule. The study shows that the length of this new chain is confined to the same boundary as that of an optimal chain. A series of tests shows that our method outperforms decomposition method as well as earlier methods significantly. Moreover, possible saving of terms can be made more noticeable as we increase the prime factor. 14 19 144-152
spellingShingle A hybrid addition chain method for faster scalar multiplication
subject WSEAS
summary Solutions to addition chain problem can be applied to operations involving huge number such as scalar multiplication in elliptic curve cryptography. Recently, a decomposition method was introduced, with an intention to generate addition chain with minimal possible terms. Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. Although the chain is not always optimal, the method is shown to outclass other existing methods for certain cases of n. The method is based on prime power decomposition and it can be seen as a two-layered approach, prime layer and prime power layer. In this paper, we adapt an idea of non-adjacent form into decomposition method at prime layer. This new hybrid method is called signed decomposition method. Our objective is to reduce the number of addition operations for each p by transforming an original unsigned rule into a signed rule. The study shows that the length of this new chain is confined to the same boundary as that of an optimal chain. A series of tests shows that our method outperforms decomposition method as well as earlier methods significantly. Moreover, possible saving of terms can be made more noticeable as we increase the prime factor.
title A hybrid addition chain method for faster scalar multiplication
title_full A hybrid addition chain method for faster scalar multiplication
title_fullStr A hybrid addition chain method for faster scalar multiplication
title_full_unstemmed A hybrid addition chain method for faster scalar multiplication
title_short A hybrid addition chain method for faster scalar multiplication
title_sort hybrid addition chain method for faster scalar multiplication