Abstract
In this paper, the problem of synchronization of CNN(Cellular Neural Network) hyperchaotic system is studied. The hyperchaotic system has very strong random and inscrutability and make use of its multiple state variables to encrypt the information signal, therefore having higher security. Based on state observer, we realize the synchronization of the CNN hyperchaotic system. The synchronization theory is applied in the two-channel secure communication. Finally, we put forward a new six order CNN hyperchaotic system in simulation. The synchronization results verify the correctness of the theory. The secure communication simulation demonstrates the effectiveness of the method.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, XD., Li, WJ., Xiong, P. (2012). CNN Hyperchaotic Synchronization with Applications to Secure Communication. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31362-2_68
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DOI: https://doi.org/10.1007/978-3-642-31362-2_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31361-5
Online ISBN: 978-3-642-31362-2
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