2019
DOI: 10.3390/e21070663
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Research about the Characteristics of Chaotic Systems Based on Multi-Scale Entropy

Abstract: The logistic chaotic system, as a classical complex phenomenon of nonlinear dynamic systems, has received extensive attention in the field of secure communication. It is generally believed that the characteristics of chaos are suitable for the needs of encryption systems. In this paper, a multi-scale entropy theory analysis and statistical analysis are carried out on the chaotic sequences produced by different parameters and different initial values of logistic systems. According to the simulation results, the… Show more

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Cited by 9 publications
(5 citation statements)
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“…In this paper, nonlinear changes are proposed to enhance the chaotic properties of low-dimensional chaotic systems. In order to overcome the above weakness of the low dimensional discrete-time chaotic map, linear combinations of the output values of existing chaotic systems are proposed to enhance the chaotic characteristics in [23][24][25][26][27]. Because the linear combination cannot change the output value of the original system, only the linear combination of these values, the performance of the presented system is not very good.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, nonlinear changes are proposed to enhance the chaotic properties of low-dimensional chaotic systems. In order to overcome the above weakness of the low dimensional discrete-time chaotic map, linear combinations of the output values of existing chaotic systems are proposed to enhance the chaotic characteristics in [23][24][25][26][27]. Because the linear combination cannot change the output value of the original system, only the linear combination of these values, the performance of the presented system is not very good.…”
Section: Introductionmentioning
confidence: 99%
“…The das suffers from statistical defects, which is a manifest of the system's continuities and autocorrelations due to the system's memory. Another plausible problem is the upper bound limit on entropy which was shown in the works of [44], [45] on chaotic univariate maps. Fortunately, the two works are not concerned with continuous chaotic multivariate systems, and no work disproved the conjecture for this category.…”
Section: Sponge-based Prngmentioning
confidence: 99%
“…These numerical simulations, together with some other calculations, imply that system (2) is indeed hyperchaotic. As explained and visualized in Reference [18], the entropy of time series generated by the financial system (2) exhibits relatively high values when system (2) undergoes the hyperchaos phenomenon; see References [18][19][20][21][22], for instance, for more explanation on the relation between entropy and chaos. This could help us locate accurately chaotic and periodic attractors in the system (2).…”
Section: Introductionmentioning
confidence: 98%