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Article

Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems

School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China
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Author to whom correspondence should be addressed.
Entropy 2023, 25(4), 631; https://doi.org/10.3390/e25040631
Submission received: 13 March 2023 / Revised: 2 April 2023 / Accepted: 2 April 2023 / Published: 7 April 2023
(This article belongs to the Special Issue Image Encryption and Privacy Protection Based on Chaotic Systems)

Abstract

In the past decade, a large amount of important digital data has been created and stored in the form of color images; the protection of such data from undesirable accesses has become an important problem in information security. In this paper, a new approach based on an evolutionary framework is proposed for the secure encryption of color images. The image contents in a color image are first fully scrambled with a sequence of bit-level operations determined by a number of integer keys. A scrambled image is then encrypted with keys generated from an evolutionary process controlled by a set of chaotic systems. Analysis and experiments show that the proposed approach can generate encrypted color images with high security. In addition, the performance of the proposed approach is compared with that of a few state-of-the-art approaches for color image encryption. The results of the comparison suggest that the proposed approach outperforms the other approaches in the overall security of encrypted images. The proposed approach is thus potentially useful for applications that require color image encryption.
Keywords: image encryption; color images; evolutionary process; chaotic systems; security image encryption; color images; evolutionary process; chaotic systems; security

Share and Cite

MDPI and ACS Style

Man, X.; Song, Y. Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems. Entropy 2023, 25, 631. https://doi.org/10.3390/e25040631

AMA Style

Man X, Song Y. Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems. Entropy. 2023; 25(4):631. https://doi.org/10.3390/e25040631

Chicago/Turabian Style

Man, Xinpeng, and Yinglei Song. 2023. "Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems" Entropy 25, no. 4: 631. https://doi.org/10.3390/e25040631

APA Style

Man, X., & Song, Y. (2023). Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems. Entropy, 25(4), 631. https://doi.org/10.3390/e25040631

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