Image Encryption Scheme Based on Newly Designed Chaotic Map and Parallel DNA Coding

Shenli Zhu, Xiaoheng Deng (), Wendong Zhang and Congxu Zhu ()
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Shenli Zhu: Software School, Xinjiang University, Urumqi 830091, China
Xiaoheng Deng: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Wendong Zhang: Software School, Xinjiang University, Urumqi 830091, China
Congxu Zhu: School of Computer Science and Engineering, Central South University, Changsha 410083, China

Mathematics, 2023, vol. 11, issue 1, 1-22

Abstract: In this paper, a new one-dimensional fractional chaotic map is proposed and an image encryption scheme based on parallel DNA coding is designed by using the chaotic map. The mathematical model of the new chaotic system combines a sine map and a fraction operation. Compared with some traditional one-dimensional chaotic systems, the new chaotic system has a larger range of chaotic parameters and better chaotic characteristics, which makes it more suitable for applications in information encryption. In addition, an image encryption algorithm based on parallel DNA coding is proposed, which overcomes the shortcoming of common DNA coding-based image encryption algorithms. Parallel computing significantly increases the speed of encryption and decryption algorithms. The initial key of the cryptosystem is designed to be related to the SHA-3 hash value of the plaintext image so that the algorithm can resist a chosen-plaintext attack. Simulation experiments and security analysis results show that the proposed image encryption scheme has good encryption performance and less time overhead, and has strong robustness to noise and data loss attacks, which indicates that the proposed image encryption scheme has good application potential in secure communication applications.

Keywords: image encryption; chaotic system; parallel computing; DNA coding (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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