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Synchronization between different hyper chaotic systems and dimensions of cellular neural network and its design in audio encryption

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Abstract

In order to discuss the synchronization characteristic of a class of the cellular neural network and Lorenz hyper chaotic systems. This paper puts forward on the control method between different chaotic and dimensions system, using the controller and base on stability theory of Lyapunov to analysis of the synchronization stability. Finally a synchronization encryption algorithm for audio is presented as a new design. The simulation results show that there is not much correlation between the waveform of the audio document after it’s encrypted with that of the original one. By comparing the spectrum, it further testifies that the encryption effect of this design is remarkable.

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Acknowledgements

The paper is supported by National Natural Science Foundation of China (Grant Number: 11461063); The Xinjiang Uygur Autonomous Region Natural Science Foundation (Grant Number: 2017D01A24).

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Authors and Affiliations

  1. Department of Applied Mathematics, Xinjiang University of Finance and Economics, Ürümqi, 830012, People’s Republic of China

    Guodong Li, Yue Pu, Bing Yang & Jing Zhao

  2. Research center of Xinjiang Social and Economic Statistics of Xinjiang University of Finance and Economics, Xinjiang, Ürümqi, 830012, People’s Republic of China

    Guodong Li

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  1. Guodong Li
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  2. Yue Pu
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  3. Bing Yang
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  4. Jing Zhao
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Correspondence to Guodong Li.

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Li, G., Pu, Y., Yang, B. et al. Synchronization between different hyper chaotic systems and dimensions of cellular neural network and its design in audio encryption. Cluster Comput 22 (Suppl 3), 7423–7434 (2019). https://doi.org/10.1007/s10586-018-1700-7

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  • DOI: https://doi.org/10.1007/s10586-018-1700-7

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