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Reseach Article

Optimizing point Doubling Operations in ECC Zp

by A. Sakthivel, R. Nedunchezhian
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 6
Year of Publication: 2012
Authors: A. Sakthivel, R. Nedunchezhian
10.5120/5546-7614

A. Sakthivel, R. Nedunchezhian . Optimizing point Doubling Operations in ECC Zp. International Journal of Computer Applications. 41, 6 ( March 2012), 29-32. DOI=10.5120/5546-7614

@article{ 10.5120/5546-7614,
author = { A. Sakthivel, R. Nedunchezhian },
title = { Optimizing point Doubling Operations in ECC Zp },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 6 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number6/5546-7614/ },
doi = { 10.5120/5546-7614 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:55.540203+05:30
%A A. Sakthivel
%A R. Nedunchezhian
%T Optimizing point Doubling Operations in ECC Zp
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 6
%P 29-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today a wireless network has minimum power consume and less security access. Based on these the suitable way of providing a security system for wireless application is to select the Elliptic Curve Cryptography. But this public key cryptography has required more number of clock cycles to compute its point operations. One of the point operations called point multiplication requires a lot of clock cycles to compute result. This proposed technique reduces the number of clock cycles of point multiplication for parallel processing by reducing number of dependent and independent operations.

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Index Terms

Computer Science
Information Sciences

Keywords

Public Key Cryptography Elliptic Curve Cryptography Point Multiplication Clock Cycles Parallel Processing