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Chin. Phys. B, 2022, Vol. 31(4): 040501    DOI: 10.1088/1674-1056/ac272d
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Neural-mechanism-driven image block encryption algorithm incorporating a hyperchaotic system and cloud model

Peng-Fei Fang(方鹏飞)1, Han Liu(刘涵)1,†, Cheng-Mao Wu(吴成茂)2, and Min Liu(刘旻)3
1 School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China;
2 School of Electronic Engineering, Xi'an University of Posts&Telecommunications, Xi'an 710061, China;
3 School of Engineering and Computer Science, Australian National University, Canberra 0200, Australia
Abstract  An image encryption algorithm is proposed in this paper based on a new four-dimensional hyperchaotic system, a neural mechanism, a Galois field and an improved Feistel block structure, which improves the efficiency and enhances the security of the encryption algorithm. Firstly, a four-dimensional hyperchaotic system with a large key space and chaotic dynamics performance is proposed and combined with a cloud model, in which a more complex and random sequence is constructed as the key stream, and the problem of chaotic periodicity is solved. Then, the key stream is combined with the neural mechanism, Galois field and improved Feistel block structure to scramble and diffuse the image encryption. Finally, the experimental results and security analysis show that the encryption algorithm has a good encryption effect and high encryption efficiency, is secure, and can meet the requirements of practical applications.
Keywords:  image encryption      neural mechanism      hyperchaotic system  
Received:  26 July 2021      Revised:  27 August 2021      Accepted manuscript online:  16 September 2021
PACS:  05.45.Gg (Control of chaos, applications of chaos)  
  07.05.Pj (Image processing)  
Fund: We thank all the teachers in the research group. Project supported by the National Natural Science Foundation of China (Grant No. 61973248) and the Key Project of the Shaanxi Key Research and Development Program, China (Grant No. 2018ZDXM-GY-089).
Corresponding Authors:  Han Liu     E-mail:  liuhan@xaut.edu.cn

Cite this article: 

Peng-Fei Fang(方鹏飞), Han Liu(刘涵), Cheng-Mao Wu(吴成茂), and Min Liu(刘旻) Neural-mechanism-driven image block encryption algorithm incorporating a hyperchaotic system and cloud model 2022 Chin. Phys. B 31 040501

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