Research Article | OPEN ACCESS
Two Improved Pseudo-Random Number Generation Algorithms Based on the Logistic Map
1, 2Chunyan Han, 1Yunxiao Wang, 1Yixian Liu and 1Dancheng Li
1Department of Software College
2Department of Information Science and Engineering, Northeastern
University, Shenyang, 110819, China
Research Journal of Applied Sciences, Engineering and Technology 2013 6:2174-2179
Received: August 02, 2012 | Accepted: September 08, 2012 | Published: February 21, 2013
Abstract
In this study, we improve the pseudo-random number generation algorithm of Java based on the logistic map. We replace the seed of the random generation algorithm with a sequence of numbers which is generated by the original logistic map and the improved logistic map. And then we describe the two improved algorithms in detail including the essence of two algorithms and the processes. Also we display a series of experiments to prove the improved algorithms have a good randomness and they are efficient. Eventually we conclude our study and list our future study. The two improved pseudo-random number generation algorithms take advantage of the chaotic characteristics of the logistic map which makes it become much more efficient.
Keywords:
Pseudo-random number generation, randomness tests, the logistic map,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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