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Signed decomposition method for scalar multiplication in elliptic curve cryptography


Citation

Md. Said, Mohamad Rushdan and Mohamed, M. A. and Mohd Atan, Kamel Ariffin and Ahmad Zukarnain, Zuriati (2010) Signed decomposition method for scalar multiplication in elliptic curve cryptography. In: International Conference on Mathematical Science (ICMS), 23-27 Nov. 2010, Bolu, Turkey. (pp. 805-813).

Abstract

Addition chain is the solution to computability constraint of the problematic large number arithmetic. In elliptic curve cryptography, a point arithmetic on elliptic curve can be reduced to repetitive addition and doubling operations. Based on this idea, various methods were proposed, lately a decomposition method based on prime decomposition was put forward. This method uses a pre‐generated set of rules to calculate an addition chain for n. Though the method shows it own advantage over others in some cases, but some improvements is still avail. We develop an enhancement version called signed decomposition method which takes rule from decomposition method as an input. We also generalize the idea of a prime rule to an integer rule. An improvement is done to the original add rule in decomposition method by allowing subtraction operation to terms. In so doing, we optimize the original form of add rule. The result shows not only an improvement over decomposition method but also become an all time superior compare to preceeding methods. Furthermore, having secret key in a form of rule will put up extra security to the message under communication.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
Institute for Mathematical Research
DOI Number: https://doi.org/10.1063/1.3525209
Publisher: American Institute of Physics
Keywords: Binary method; Complementary recoding; Double and add; Non-adjacent form; Selectfont addition chain
Depositing User: Nabilah Mustapa
Date Deposited: 26 Sep 2017 03:58
Last Modified: 26 Sep 2017 03:58
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.3525209
URI: http://psasir.upm.edu.my/id/eprint/57287
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