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Proceedings Paper

Image encryption algorithm based on modified SC-Hopfield
Author(s): Chen Liu; Chenghai Li; Fangzheng Zhao; Zijie Zhao; Hongyi Qiao
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Paper Abstract

In order to improve the color in the process of image transmission security and efficiency, sine chaos mapping and Hopfield neural network model is put forward with the combination of image encryption algorithm. Firstly, sinusoidal chaotic mapping is adopted in the image scrambling stage to reduce the high correlation between image pixels; secondly, the key flow generated by iterative Hopfield chaotic neural network is used to complete the image diffusion; then, the image encryption is completed through bit operation; finally, the effectiveness and security of the encryption algorithm are analyzed. It is shown from that result and statistical analysis of the simulation that the algorithm has a variety of anti-attack ability and has high safety performance.

Paper Details

Date Published: 14 August 2019
PDF: 8 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117912 (14 August 2019);
Show Author Affiliations
Chen Liu, Air Force Engineering Univ. (China)
Chenghai Li, Air Force Engineering Univ. (China)
Fangzheng Zhao, Air Force Engineering Univ. (China)
Zijie Zhao, Air Force Engineering Univ. (Chile)
Hongyi Qiao, Air Force Engineering Univ. (China)


Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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