A Color Image Encryption Algorithm Based on Double Fractional Order Chaotic Neural Network and Convolution Operation

A color image encryption algorithm based on double fractional order chaotic neural network (CNN), interlaced dynamic deoxyribonucleic acid (DNA) encoding and decoding, zigzag confusion, bidirectional bit-level diffusion and convolution operation is proposed. Firstly, two fractional order chaotic neu...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Switzerland), 2022-07, Vol.24 (7), p.933
Main Authors: Li, Nanming, Xie, Shucui, Zhang, Jianzhong
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Calculus
Chaos theory
Color imagery
Convolution
convolution operation
Cryptography
Deoxyribonucleic acid
DNA
DNA encoding
fractional order chaotic system
image encryption
neural network
Neural networks
Security
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Summary:A color image encryption algorithm based on double fractional order chaotic neural network (CNN), interlaced dynamic deoxyribonucleic acid (DNA) encoding and decoding, zigzag confusion, bidirectional bit-level diffusion and convolution operation is proposed. Firstly, two fractional order chaotic neural networks (CNNs) are proposed to explore the application of fractional order CNN in image encryption. Meanwhile, spectral entropy (SE) algorithm shows that the sequence generated by the proposed fractional order CNNs has better randomness. Secondly, a DNA encoding and decoding encryption scheme with evolutionary characteristics is adopted. In addition, convolution operation is utilized to improve the key sensitivity. Finally, simulation results and security analysis illustrate that the proposed algorithm has high security performance and can withstand classical cryptanalysis attacks.
ISSN:1099-4300
1099-4300
DOI:10.3390/e24070933