Image encryption algorithm based on hyperchaotic system and a new DNA sequence operation
Jinwei Yu,
Wei Xie,
Zhenyu Zhong and
Huan Wang
Chaos, Solitons & Fractals, 2022, vol. 162, issue C
Abstract:
As the application of multimedia technology intensifies recently, more and more attention has been paid to privacy protection in image data. The interest in DNA-based image encryption techniques is increasing due to their high parallelism and large storage capacity. However, there are only few types of operations in existing DNA encryption methods and many of them are susceptible to chosen-plaintext attacks. To solve these problems, this paper proposes a novel image encryption algorithm based on a new DNA sequence operation and hyperchaotic system. Firstly, SHA-256 algorithm is used in conjunction with chaotic systems to generate plaintext-related random sequences. Secondly, the plain image is decomposed into RGB channels and encoded into DNA matrices. Thirdly, a new DNA operation called DNA triploid mutation (DNA-TM) is introduced to achieve cryptographic conversion of DNA bases. Furthermore, after decoding three DNA matrices, row-column permutation and pixel diffusion are employed to fuse the image. The experimental results demonstrate that our encryption approach is secure, with an average information entropy of 7.9972. In addition, the security analysis reveals that our scheme can resist differential attacks, plaintext attacks, noise attacks and occlusion attacks.
Keywords: Image encryption; DNA encryption; Triploid mutation; Chaotic system; 2D-LASM; 4D-QAHS (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007792200666X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:162:y:2022:i:c:s096007792200666x
DOI: 10.1016/j.chaos.2022.112456
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().