Cluster Computing

, Volume 22, Supplement 3, pp 7423–7434 | Cite as

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

  • Guodong LiEmail author
  • Yue Pu
  • Bing Yang
  • Jing Zhao


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.


Cellular neural network Synchronization systems Encryption algorithm Lyapunov stability theory Lorenz hyper chaotic systems 



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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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Applied MathematicsXinjiang University of Finance and EconomicsÜrümqiPeople’s Republic of China
  2. 2.Research center of Xinjiang Social and Economic Statistics of Xinjiang University of Finance and EconomicsXinjiang, ÜrümqiPeople’s Republic of China

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