A digital pseudo-random number generator based on sawtooth chaotic map with a guaranteed enhanced period

A digital pseudo-random number generator based on sawtooth chaotic map with a guaranteed enhanced... In this paper, a very low complexity method is proposed to achieve a guaranteed substantial extension in the period of a popular class of chaos-based digital pseudo-random number generators (PRNGs). To this end, the relation between the chaotic PRNG and multiple recursive generators is investigated and some theorems are provided to show that how a simple recursive structure and an additive piecewise-constant perturbation inhibit unpredictable short period trajectories and ensure an a priori known long period for the chaotic PRNG. The statistical performance of the proposed PRNG is evaluated, and the results show that it is a good candidate for applications in which long-period secure pseudo-random sequence generators at a low complexity level are required. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nonlinear Dynamics Springer Journals

A digital pseudo-random number generator based on sawtooth chaotic map with a guaranteed enhanced period

Loading next page...
 
/lp/springer_journal/a-digital-pseudo-random-number-generator-based-on-sawtooth-chaotic-map-0ivTVrd00c
Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media B.V.
Subject
Engineering; Vibration, Dynamical Systems, Control; Classical Mechanics; Mechanical Engineering; Automotive Engineering
ISSN
0924-090X
eISSN
1573-269X
D.O.I.
10.1007/s11071-017-3638-3
Publisher site
See Article on Publisher Site

Abstract

In this paper, a very low complexity method is proposed to achieve a guaranteed substantial extension in the period of a popular class of chaos-based digital pseudo-random number generators (PRNGs). To this end, the relation between the chaotic PRNG and multiple recursive generators is investigated and some theorems are provided to show that how a simple recursive structure and an additive piecewise-constant perturbation inhibit unpredictable short period trajectories and ensure an a priori known long period for the chaotic PRNG. The statistical performance of the proposed PRNG is evaluated, and the results show that it is a good candidate for applications in which long-period secure pseudo-random sequence generators at a low complexity level are required.

Journal

Nonlinear DynamicsSpringer Journals

Published: Jul 4, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off