Fast Color Image Encryption Algorithm Based on DNA Coding and Multi-Chaotic Systems

Shaofang Wang (), Jingguo Pan, Yanrong Cui, Zhongju Chen and Wei Zhan
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Shaofang Wang: School of Computer Science, Yangtze University, Jingzhou 434023, China
Jingguo Pan: School of Computer Science, Yangtze University, Jingzhou 434023, China
Yanrong Cui: School of Computer Science, Yangtze University, Jingzhou 434023, China
Zhongju Chen: School of Computer Science, Yangtze University, Jingzhou 434023, China
Wei Zhan: School of Computer Science, Yangtze University, Jingzhou 434023, China

Mathematics, 2024, vol. 12, issue 20, 1-18

Abstract: At present, there is a growing emphasis on safeguarding image data, yet conventional encryption methods are full of numerous limitations. In order to tackle the limitations of conventional color image encryption methodologies, such as inefficiency and insufficient security, this paper designs an expedited encryption method for color images that uses DNA coding in conjunction with multiple chaotic systems. The encryption algorithm proposed in this paper is based on three-dimensional permutation, global scrambling, one-dimensional diffusion and DNA coding. First of all, the encryption algorithm uses three-dimensional permutation algorithms to scramble the image, which disrupts the high correlation among the image pixels. Second, the RSA algorithm and the SHA-256 hashing algorithm are utilized to derive the starting value necessary for the chaotic system to produce the key. Third, the image is encrypted by using global scrambling and one-dimensional diffusion. Finally, DNA coding rules are used to perform DNA computing. The experimental results indicate that the encryption scheme exhibits a relatively weak inter-pixel correlation, uniform histogram distribution, and an information entropy value approaching eight. This shows that the proposed algorithm is able to protect the image safely and efficiently.

Keywords: chaotic systems; DNA operations; scrambling and diffusion; image encryption (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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