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A Conservative Memristive Chaotic System with Extreme Multistability and Its Application in Image Encryption.
Li, Jian; Liang, Bo; Zhang, Xiefu; Yu, Zhixin.
Afiliação
  • Li J; College of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
  • Liang B; College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China.
  • Zhang X; College of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
  • Yu Z; College of Mathematics and Big Data, Guizhou Education University, Guiyang 550018, China.
Entropy (Basel) ; 25(12)2023 Dec 13.
Article em En | MEDLINE | ID: mdl-38136536
ABSTRACT
In this work, a novel conservative memristive chaotic system is constructed based on a smooth memristor. In addition to generating multiple types of quasi-periodic trajectories within a small range of a single parameter, the amplitude of the system can be controlled by changing the initial values. Moreover, the proposed system exhibits nonlinear dynamic characteristics, involving extreme multistability behavior of isomorphic and isomeric attractors. Finally, the proposed system is implemented using STMicroelectronics 32 and applied to image encryption. The excellent encryption performance of the conservative chaotic system is proven by an average correlation coefficient of 0.0083 and an information entropy of 7.9993, which provides a reference for further research on conservative memristive chaotic systems in the field of image encryption.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China