Dynamical properties and complex anti synchronization with applications to secure communications for a novel chaotic complex nonlinear model
Emad E. Mahmoud and
S.M. Abo-Dahab
Chaos, Solitons & Fractals, 2018, vol. 106, issue C, 273-284
Abstract:
In this work, we present another chaotic (or hyperchaotic) complex nonlinear framework. This chaotic (or hyperchaotic) complex framework can be considered as a speculation of ”Guan” framework [1]. The new framework is a 5-dimensional nonstop real independent chaotic (or hyperchaotic) framework. The fundamental properties and elements of our framework are examined. Once with the all parameters are real and the other with one of these parameters is a complex parameter. When we examine the dynamics of the new framework and the parameters in real form, the conduct of the new framework is chaotic. While when one of these parameters is complex, our new framework is hyperchaotic. On the premise of Lyapunov capacity and dynamic control method, a scheme is designed to accomplish the complex anti-synchronization of two identical chaotic (or hyperchaotic) attractors of these frameworks. The effectiveness of the acquired outcomes will be delineated by a simulation case. Numerical outcomes are schemed to indicate state variables and errors of these chaotic attractors after synchronization to show that synchronization is accomplished. The above outcomes will give hypothetical establishment to the secure communication applications in light of the proposed scheme. In this secure communication scheme, synchronization between transmitter and receiver is accomplished and message signals will be recuperated. The encryption and rebuilding of the signals will be simulated numerically.
Keywords: Complex anti synchronization; Chaotic; Lyapunov function; Lyapunov exponents; Complex (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:106:y:2018:i:c:p:273-284
DOI: 10.1016/j.chaos.2017.10.013
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