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Chaotic image encryption based on partial face recognition and DNA diffusion
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DOI：10.1007/s10489-024-05613-9.png)
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This paper proposes an innovative image encryption algorithm that leverages partial face recognition and DNA diffusion, building upon advancements in chaotic image encryption and face recognition technologies. The key is generated using the secure SHA-512 algorithm, while the chaotic sequence for the encryption algorithm is derived from the Chen system. This paper begins by employing facial recognition technology to identify and focus on specific facial regions within an image. Subsequently, DNA diffusion is applied to encrypt the recognized face segment via a diffusion-scrambling encryption process. Following this, the entire image undergoes diffusion utilizing the devised diffusion rules. Finally, a uniform scrambling operation based on Fisher-Yeats is performed on the entire image. The experimental results and safety analysis show that the information entropy can exceed 7.9973, the average correlation can be less than 0.0023, the pixel number change rate can reach 99.6052%, and the unified average change intensity can reach 33.4644%, all of which are very close to the ideal values.
Keyword:
Image encryption
Partial face recognition
DNA diffusion
Chen
Fisher-Yeats
期刊
IF:
3.5
论文数:
7.6K
被引数:
1.7W
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