A novel image block cryptosystem based on spatiotemporal chaotic system and chaotic neural network

doi:10.1088/1674-1056/22/5/050508

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
Accepted manuscript online:

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: wangxy@dlut.edu.cn

Cite this article:

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

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A novel image block cryptosystem based on spatiotemporal chaotic system and chaotic neural network

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