Article: Chaotic colour image encryption based on differential evolutionary deep learning Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.25 No.7 pp.57 - 74 Abstract: Traditional chaotic image encryption methods have certain limitations in terms of processing high-dimensional data, computational complexity and attack resistance, which limits their widespread promotion and use in practical applications. To solve these problems, this paper proposes a chaotic colour image encryption method based on differential evolutionary deep learning. Firstly, the security and stability of the image encryption algorithm is enhanced by introducing a six-dimensional cellular neural network (CNN). Secondly, the parameters of the six-dimensional CNN are optimised using differential evolutionary algorithms to improve the complexity and randomness of the chaotic sequences. The experimental results show that compared with the traditional CNN, AES and Chaotic Encryption Algorithm, this paper's method shows significant improvement in NPCR and UACI indicators. Inderscience Publishers - linking academia, business and industry through research

Title: Chaotic colour image encryption based on differential evolutionary deep learning

Authors: Zhengbao Cai

Addresses: College of Information Technology, Anhui Vocational College of Defense Technology, Lu'an 237000, China

Abstract: Traditional chaotic image encryption methods have certain limitations in terms of processing high-dimensional data, computational complexity and attack resistance, which limits their widespread promotion and use in practical applications. To solve these problems, this paper proposes a chaotic colour image encryption method based on differential evolutionary deep learning. Firstly, the security and stability of the image encryption algorithm is enhanced by introducing a six-dimensional cellular neural network (CNN). Secondly, the parameters of the six-dimensional CNN are optimised using differential evolutionary algorithms to improve the complexity and randomness of the chaotic sequences. The experimental results show that compared with the traditional CNN, AES and Chaotic Encryption Algorithm, this paper's method shows significant improvement in NPCR and UACI indicators.

Keywords: chaotic image encryption; differential evolutionary algorithm; six-dimensional cellular neural network; CNN; NPCR; unified average changing intensity; UACI.

DOI: 10.1504/IJICT.2024.142166

International Journal of Information and Communication Technology, 2024 Vol.25 No.7, pp.57 - 74

Received: 30 Aug 2024
Accepted: 13 Sep 2024
Published online: 10 Oct 2024 *

Title: Chaotic colour image encryption based on differential evolutionary deep learning

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