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Reseach Article

Generating Random Data using 3 Nonlinear Functions

by Sharaf A. Alhomdy, Saleh N. Abdullah, Malek N. Algabri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 4
Year of Publication: 2016
Authors: Sharaf A. Alhomdy, Saleh N. Abdullah, Malek N. Algabri
10.5120/ijca2016911776

Sharaf A. Alhomdy, Saleh N. Abdullah, Malek N. Algabri . Generating Random Data using 3 Nonlinear Functions. International Journal of Computer Applications. 152, 4 ( Oct 2016), 6-10. DOI=10.5120/ijca2016911776

@article{ 10.5120/ijca2016911776,
author = { Sharaf A. Alhomdy, Saleh N. Abdullah, Malek N. Algabri },
title = { Generating Random Data using 3 Nonlinear Functions },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 4 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number4/26305-2016911776/ },
doi = { 10.5120/ijca2016911776 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:14.732758+05:30
%A Sharaf A. Alhomdy
%A Saleh N. Abdullah
%A Malek N. Algabri
%T Generating Random Data using 3 Nonlinear Functions
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 4
%P 6-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, security systems are built on increasingly strong cryptographic algorithms. Hence, most of the applications which require a high level of security system should include the random number generators (RNGs). Furthermore, most RNGs use nonlinear functions to generate secret quantities for protecting the information that need high level of the security for these applications. Unfortunately, the main deficiencies in the available RNGs are the short period of its repeat cycle length and also the predefined values determined by the static factors. Therefore, this paper describes a new technique to generate random data using 3 nonlinear functions which will extend the periodic cycle length of the repetition that enhances the system security.

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Index Terms

Computer Science
Information Sciences

Keywords

Seed Period Static or Dynamic Factors RNG Security Nonlinear Function