Bit cyclic shift method to reinforce digital chaotic maps and its application in pseudorandom number generator
Jun Zheng and
Hanping Hu
Applied Mathematics and Computation, 2022, vol. 420, issue C
Abstract:
When chaotic systems are realized on finite precision devices, dynamical degradation occurs, which causes many flaws in chaos-based applications. In this paper, a new bit cyclic shift method is introduced to reinforce digital chaotic maps and counteract the problem of dynamical degradation. The state value of digital chaotic map is modified by circularly shifting its bits according to a designed shift strategy. This method is applied to the Logistic map to generate many new improved chaotic maps by changing the shift strategy. Theoretical analysis and numerical experiments demonstrate their chaotic parameter ranges and chaotic behaviors. Furthermore, the simulation results under low computing precision indicate that our method has the ability to counteract the dynamical degradation. This method has high flexibility and can apply to any chaotic system. Finally, a new pseudorandom number generator (PRNG) is designed to show the good performance of the improved digital chaotic maps.
Keywords: Digital chaotic maps; Finite precision; Dynamical degradation; Bit shift; Pseudorandom number generator (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300321008705
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:420:y:2022:i:c:s0096300321008705
DOI: 10.1016/j.amc.2021.126788
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().