Synchronization of CNNs Arranged in Small–world Topology and Signal Selection for a Suitable Chaotic Encryption (I)

Resumen: In this paper synchronization of a small–world network composed of Cellular Neural Networks (CNN) is addressed. Each nonlinear system used to compose the network is the standard CNN. Such model will be used as generator of chaotic behavior. The resulting small–world network will be created with Newman–Watts algorithm and synchronized by using the coupling matrix technique. On the other hand, secret communications, that includes a suitable selection of the chaotic signal as improvement of the security level, are evaluated as potential application. Criteria considering energy and frequency characteristics are used to choose the chaotic signal that best hides the message. Numerical simulations of the encryption, transmission and retrieval of a message are provided to corroborate the effectiveness of the procedure.

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A.G. Soriano–Sánchez, A.D. Cortés–Preciado, M.A. Platas–Garza A.E. Loya–Cabrera C. Elizondo–González & C. Posadas–Castillo. Synchronization of CNNs Arranged in Small–world Topology and Signal Selection for a Suitable Chaotic Encryption (I). Memorias del Congreso Nacional de Control Automático, pp. 564-569, 2018.

Palabras clave

Synchronization, chaotic CNN, small–world property, complex network, encryption, secret communications

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