一个新的三维超混沌映射耦合离散切线忆阻器:动态分析,DSP实现,和图像加密应用

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Chenkai Zhang, Huibin Wang, Yiyan Zhang
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引用次数: 0

摘要

本研究采用由切线函数导出的离散忆阻器来生成一种新的三维离散超混沌映射。首先对混沌映射的不动点属性进行了分析。随后,研究了混沌映射的动力学行为,揭示了超混沌、偏移、状态转移和吸引子共存等现象。对混沌序列的复杂性和随机性进行了评估,并通过DSP平台将吸引子轨迹显示在示波器上,从而验证了混沌映射的物理可行性。因此,一种加密算法的彩色图像,结合选择性扩散过程,被开发。最后,对加密算法进行了安全性分析,验证了该算法的安全性和抗各种攻击策略的弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel 3D hyperchaotic map coupled with discrete tangent memristor: Dynamic analysis, DSP implementation, and image encryption application
This study employs discrete memristors, derived from tangent functions, to generate a novel three-dimensional discrete hyperchaotic map. Initially, an analysis is conducted of the fixed-point attributes of the chaotic map. Subsequently, the dynamic behavior of the chaotic map is investigated, revealing phenomena such as hyperchaos, offset, state transitions, and the coexistence of attractors. The complexity and randomness of the chaotic sequence are evaluated, and the attractor trajectory is displayed on an oscilloscope via the DSP platform, thereby demonstrating the physical feasibility of the chaotic map. Consequently, an encryption algorithm for color images, incorporating selective diffusion processes, is developed. Lastly, a security analysis of the encryption algorithm is performed, affirming its robust security and resilience against various attack strategies.
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来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
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