A Universal Image Compression Sensing–Encryption Algorithm Based on DNA-Triploid Mutation

Yinghong Cao, Linlin Tan, Xianying Xu and Bo Li ()
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Yinghong Cao: School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China
Linlin Tan: School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China
Xianying Xu: School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China
Bo Li: School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China

Mathematics, 2024, vol. 12, issue 13, 1-21

Abstract: With the fast growth of information technology (IT), the safety of image transmission and the storing of images are becoming increasingly important. Traditional image encryption algorithms have certain limitations in transmission and security, so there is an urgent need for a secure and reliable image encryption algorithm. A universal compression sensing (CS) image encryption (IE) algorithm based on DNA-triploid mutation (DTM) is presented in this paper. Firstly, by using the CS algorithm, an image is compressed while obtaining a range of chaotic sequences by iteration of a chaotic map. Then, DNA sequences are generated by encoding the image and, based on the DTM, new mutant DNA sequences are generated according to specific rules. Next, the chaotic sequences are operated at the DNA level to perform confusion and diffusion operations on the image to ensure the security of the data. Finally, DNA decoding is carried out to obtain the compressed encrypted image. The simulation results show that the algorithm can effectively complete encryption and decryption of images. The performance test results show that the algorithm has a sufficiently large key space of 10 587 . The information entropy of the cipher image is close to 8. In summary, both simulation experiments and performance tests fully show that a high level of security and reliability for the proposed algorithm in protecting image privacy is achieved.

Keywords: privacy protection; DNA-triploid mutation; compression sensing; image encryption (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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