2020
DOI: 10.1109/access.2020.3011724
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A 3-D Multi-Stable System With a Peanut-Shaped Equilibrium Curve: Circuit Design, FPGA Realization, and an Application to Image Encryption

Abstract: A new 3-D chaotic dynamical system with a peanut-shaped closed curve of equilibrium points is introduced in this work. Since the new chaotic system has infinite number of rest points, the new chaotic model exhibits hidden attractors. A detailed dynamic analysis of the new chaotic model using bifurcation diagrams and entropy analysis is described. The new nonlinear plant shows multi-stability and coexisting convergent attractors. A circuit model using MultiSim of the new 3-D chaotic model is designed for engine… Show more

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Cited by 143 publications
(63 citation statements)
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“…Data protection during transmission is an urgent problem which needs development of robust cryptography algorithm to guaranty confidentiality in multimedia communication. One way is to use PRNS generated by chaotic circuit to confuse data refractory to classical encryption like numerical image 41,42 . We proposed to use the PRNS generated in a DNA encryption algorithm for image encryption.…”
Section: Application To Image Cryptographymentioning
confidence: 99%
“…Data protection during transmission is an urgent problem which needs development of robust cryptography algorithm to guaranty confidentiality in multimedia communication. One way is to use PRNS generated by chaotic circuit to confuse data refractory to classical encryption like numerical image 41,42 . We proposed to use the PRNS generated in a DNA encryption algorithm for image encryption.…”
Section: Application To Image Cryptographymentioning
confidence: 99%
“…3. Although the RK5-B has a similar structure with the RK4 (Fourth Order Runge-Kutta Algorithm) algorithm, this algorithm also produces more precise solutions than the RK4 and Euler algorithms since it has fifth and sixth order terms (Tlelo-Cuautle et al 2015;Pano-Azucena et al 2018;Sambas et al 2020).…”
Section: Pwco and Ring Based Dec Trng On Fpgamentioning
confidence: 99%
“…Therefore, all outputs coming from FPGA realization still belong to simulation results, more likely related to numerical integration process in mathematical environment rather than connected with real measurement. Several interesting papers can be addressed for more details about FPGA-based design, for example [32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%