基于三元非线性函数混沌迭代的图像加密方法研究

Q3 Computer Science
Zeng Qinwu, Yu Wanbo, Zeng Qingjian
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引用次数: 0

摘要

考虑到一些图像加密算法存在结构复杂、计算成本高等缺点,且常用的混沌系统不多,容易被攻击破解,为解决这些问题,本文提出了一种基于三维非线性函数的图像加密算法。首先,设计多个三元非线性函数混沌系统。然后,改变函数迭代系统,调用一个随机数下的特定表达式进行计算;该表达式是根据正弦等混沌映射生成的混沌序列,然后利用该混沌序列的值选择一个三元非线性函数进行迭代,得到一个混沌序列。该算法结构简单,加密效果较好,破译难度较低。本文方法新颖,是一种随机变量阶复合运算,不仅可以应用于图像加密,还可以用于分形图生成等,在其他一些混沌领域也会有广泛的应用。它具有重要的研究价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Image Encryption Method based on the Chaotic Iteration of a Ternary Nonlinear Function
Considering that some image encryption algorithms have the disadvantages of complex structure and high computational cost, and there are not many commonly used chaotic systems, which are easy to crack by attacks, to solve these problems, this paper proposes an image encryption algorithm based on three-dimensional nonlinear functions to solve these problems. The algorithm mainly combines the sinusoidal chaotic map with the ternary nonlinear function system to encrypt the image. Firstly, multiple ternary nonlinear function chaotic systems are designed. Then, the function iteration system is changed to invoke the computation of a specific expression under a random number; it is a chaotic sequence generated according to a chaotic mapping such as sine, and then the value of this chaotic sequence is used to select a ternary nonlinear function for iteration to obtain a chaotic sequence. Finally, the chaotic sequence performs the XOR and scrambling operations on the grey image The algorithm has a simple structure, a better encryption effect, and more incredible difficulty deciphering. Moreover, through the phase diagram and bifurcation diagram, it can be seen that the system has good chaotic characteristics The method in this paper is novel; this method is a random variable order composite operation, which can not only be applied to image encryption but also can be used for fractal map generation and so on, and in some other chaotic fields will have a wide range of applications. It has essential research value.
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来源期刊
Recent Advances in Computer Science and Communications
Recent Advances in Computer Science and Communications Computer Science-Computer Science (all)
CiteScore
2.50
自引率
0.00%
发文量
142
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