2023
DOI: 10.1016/j.chaos.2023.113841
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An n-dimensional modulo chaotic system with expected Lyapunov exponents and its application in image encryption

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Cited by 29 publications
(11 citation statements)
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“…A bifurcation diagram is a tool to visualize the randomness of chaotic systems, and Lyapunov exponents (LE) are an important index to evaluate the chaotic identity of dynamic systems [ 1 ]. In this paper, the bifurcation diagram and Lyapunov exponent diagram of the above four one-dimensional chaotic maps are given.…”
Section: N -Dimensional Chaotic Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…A bifurcation diagram is a tool to visualize the randomness of chaotic systems, and Lyapunov exponents (LE) are an important index to evaluate the chaotic identity of dynamic systems [ 1 ]. In this paper, the bifurcation diagram and Lyapunov exponent diagram of the above four one-dimensional chaotic maps are given.…”
Section: N -Dimensional Chaotic Modelmentioning
confidence: 99%
“…In recent years, nonlinear theory has received more and more attention. As a typical branch of nonlinear theory, chaos theory has been widely used in mathematics, medicine, physics, computer science, astronomy, ecology, and other scientific and engineering fields since its emergence [ 1 ]. A nonlinear system exhibiting chaotic behavior should possess high sensitivity, ergodicity, unpredictability, and initial value sensitivity, as per Devaney’s definition [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…Equation ( 10) is a polynomial. Equation (11) is the Jacobi matrix of equation (10). Equation (12) yields the Jacobi matrix from observation 1 to observation n. Suppose…”
Section: Proof Of Reasonablenessmentioning
confidence: 99%
“…Although the low-dimensional chaotic model has the advantages of simple structure and easy calculation, with the surge of computer computing power, the complexity of the low-dimensional chaotic model as well as the limited parameter range can no longer meet the security requirements. And the multidimensional chaotic model has a higher complexity, which has attracted extensive attention from scholars [10][11][12][13]. Although the multidimensional chaotic map has better chaotic characteristics, the dynamics degradation problem will still occur inevitably in the limited precision.…”
Section: Introductionmentioning
confidence: 99%
“…However, SVD will introduces a faster increase in computational complexity faster as the matrix dimension grows. The remaining two methods share similarities with the approach proposed by Dawei Ding [2]. Both involve configuring the coefficient matrix as an upper triangular matrix and achieving Lyapunov exponent control by setting up diagonal elements.…”
Section: Introductionmentioning
confidence: 99%