Paper
10 October 2023 GRU-based chaotic sequence generation and its application in image encryption
Chen Kaigui, Bao Liyong
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127995Q (2023) https://doi.org/10.1117/12.3006145
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
To improve the security of chaotic image encryption algorithm, this paper proposes an image encryption algorithm based on GRU (Gated Recurrent Unit) prediction to generate chaotic sequences. First, chaotic sequences are generated as training and test sets by chaotic mapping, and the corresponding prediction sequences are generated by single-step prediction of chaotic sequences using GRU algorithm. Then, the prediction effect of the model is analyzed, and the properties of the predicted sequences are analyzed with the maximum Lyapunov exponent and NIST detection system. Finally, the images are encrypted and comparatively analyzed by using the prediction sequence as the core with two-way random dislocation and gray value masking. The experiments show that the algorithm meets all requirements of image encryption and can resist various common attacks.
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Chen Kaigui and Bao Liyong "GRU-based chaotic sequence generation and its application in image encryption", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127995Q (10 October 2023); https://doi.org/10.1117/12.3006145
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KEYWORDS
Image encryption

Education and training

Data modeling

Complex systems

Histograms

Image compression

Image transmission

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