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Chin. Phys. B, 2013, Vol. 22(5): 050508    DOI: 10.1088/1674-1056/22/5/050508
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A novel image block cryptosystem based on spatiotemporal chaotic system and chaotic neural network

Wang Xing-Yuan, Bao Xue-Mei
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Abstract  In this paper, we propose a novel block cryptographic scheme based on spatiotemporal chaotic system and chaotic neural network (CNN). The employed CNN comprises a 4-neuron layer called chaotic neuron layer (CNL), where spatiotemporal chaotic system participates in generating its weight matrix and other parameters. The spatiotemporal chaotic system used in our scheme is the typical coupled map lattice (CML), which can be easily implemented in parallel by hardware. A 160-bit-long binary sequence is used to generate the initial conditions of the CML. The decryption process is symmetric relative to the encryption process. Theoretical analysis and experimental results prove that the block cryptosystem is secure and practical, and suitable for image encryption.
Keywords:  image encryption      block cryptosystem      chaotic neural network      coupled map lattice  
Received:  28 June 2012      Revised:  15 November 2012      Published:  01 April 2013
PACS:  05.45.Vx (Communication using chaos)  
  05.45.Ra (Coupled map lattices)  
  87.85.dq 05.45.-a  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61173183, 60973152, and 60573172), the Doctoral Program Foundation of Institution of Higher Education of China (Grant No. 20070141014), the Program for Excellent Talents in Universities of Liaoning Province, China (Grant No. LR2012003), the Natural Science Foundation of Liaoning Province, China (Grant No. 20082165), and the Fundamental Research Funds for the Central Universities of China (Grant No. DUT12JB06).
Corresponding Authors:  Wang Xing-Yuan     E-mail:

Cite this article: 

Wang Xing-Yuan, Bao Xue-Mei A novel image block cryptosystem based on spatiotemporal chaotic system and chaotic neural network 2013 Chin. Phys. B 22 050508

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