Color image encryption using genetic recombination with tent-mapping-based time-delay chaotic

Yaoqun Xu; Jiaoyang Liu

doi:10.1117/12.3045535

9 October 2024 Color image encryption using genetic recombination with tent-mapping-based time-delay chaotic

Yaoqun Xu, Jiaoyang Liu

Proceedings Volume 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024); 132880Z (2024) https://doi.org/10.1117/12.3045535
Event: Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 2024, Chengdu, China

Abstract

As the form of information transmission has shifted from text to images in recent years, the in-crease in information dimension has led to a growing interest in secure and efficient encryption algorithms. This paper proposes a chaotic system that combines tent mapping and a time-delay chaotic neural network, and it extracts a single neuron to test the system's chaotic properties and stability. On this basis, the randomness test of the chaotic sequence generated by the system is conducted to ensure that the new chaotic system can maintain the chaotic state more effectively. In addition, genetic recombination compensates for the restriction that DNA code cannot be confounded and diffused during the encryption procedure. In this paper, chaotic sequences are applied to genetic recombination and DNA coding, and an algorithm for image encryption is proposed. The data indicate that the algorithm has excellent anti-attack capabilities. In addition, the algorithm has passed the NIST and TestU01 randomness evaluations, guaranteeing its sensitivity and randomness. Therefore, the algorithm is secure and can be used to encrypt color images.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yaoqun Xu and Jiaoyang Liu "Color image encryption using genetic recombination with tent-mapping-based time-delay chaotic", Proc. SPIE 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 132880Z (9 October 2024); https://doi.org/10.1117/12.3045535

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KEYWORDS

Image encryption

Genetics

Matrices

Histograms

Image processing

Neurons

Computer security

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