ArticleEntropy (Basel, Switzerland)2023
Encryption of Color Images with an Evolutionary Framework Controlled by Chaotic Systems.
Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Generative Adversarial Network and Chaotic Map-Based Multi-Layer Medical Image Encryption.Sensors (Basel, Switzerland) · 2026Article
- Color Image Encryption Based on an Evolutionary Codebook and Chaotic Systems.Entropy (Basel, Switzerland) · 2024Article
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Authors and funding
2 authors.
Funding
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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.
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Registered trials
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