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

In this paper, we propose a novel block cryptographic scheme based on a spatiotemporal chaotic system and a chaotic neural network (CNN). The employed CNN comprises a 4-neuron layer called a chaotic neuron layer (CNL), where the spatiotemporal chaotic system participates in generating its weight mat...

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Bibliographic Details
Published inChinese physics B Vol. 22; no. 5; pp. 050508 - 1-050508-9
Main Authors Wang, Xing-Yuan, Bao, Xue-Mei
Format Journal Article
LanguageEnglish
Published 01.05.2013
Subjects
Blocking
Chaos theory
Computer systems
Cryptography
Encryption
Hardware
Neural networks
Neurons
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Summary:In this paper, we propose a novel block cryptographic scheme based on a spatiotemporal chaotic system and a chaotic neural network (CNN). The employed CNN comprises a 4-neuron layer called a chaotic neuron layer (CNL), where the 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1674-1056
1741-4199
DOI:10.1088/1674-1056/22/5/050508