A Robust Memristor-Enhanced Polynomial Hyper-Chaotic Map and Its Multi-Channel Image Encryption Application
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Published:2023-11-12
Issue:11
Volume:14
Page:2090
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ISSN:2072-666X
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Container-title:Micromachines
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language:en
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Short-container-title:Micromachines
Author:
Qian Kun12ORCID, Xiao Yang3, Wei Yinjie3, Liu Di3, Wang Quanwen3, Feng Wei3ORCID
Affiliation:
1. Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications, Hunan Institute of Science and Technology, Yueyang 414006, China 2. School of Physics and Electronic Science, Hunan Institute of Science and Technology, Yueyang 414006, China 3. School of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China
Abstract
Nowadays, the utilization of memristors to enhance the dynamical properties of chaotic systems has become a popular research topic. In this paper, we present the design of a novel 2D memristor-enhanced polynomial hyper-chaotic map (2D-MPHM) by utilizing the cross-coupling of two TiO2 memristors. The dynamical properties of the 2D-MPHM were investigated using Lyapunov exponents, bifurcation diagrams, and trajectory diagrams. Additionally, Kolmogorov entropy and sample entropy were also employed to evaluate the complexity of the 2D-MPHM. Numerical analysis has demonstrated the superiority of the 2D-MPHM. Subsequently, the proposed 2D-MPHM was applied to a multi-channel image encryption algorithm (MIEA-MPHM) whose excellent security was demonstrated by key space, key sensitivity, plaintext sensitivity, information entropy, pixel distribution, correlation analysis, and robustness analysis. Finally, the encryption efficiency of the MIEA-MPHM was evaluated via numerous encryption efficiency tests. These tests demonstrate that the MIEA-MPHM not only possesses excellent security but also offers significant efficiency advantages, boasting an average encryption rate of up to 87.2798 Mbps.
Funder
Guiding Science and Technology Plan Project of Panzhihua City Innovation and Entrepreneurship Project for Chinese University Students
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering
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