Image encryption algorithm with random scrambling based on one-dimensional logistic self-embedding chaotic map

Xingyuan Wang, Nana Guan and Jingjing Yang

Chaos, Solitons & Fractals, 2021, vol. 150, issue C

Abstract: With the continuous development of information technology, ensuring information security has become an important issue. Image is widely used as a multimedia tool, so this paper proposes a chaotic image encryption algorithm based on scrambling and diffusion operations. In the scrambling stage, the whole image is represented in binary form and divided into several sub images. The sub images are scrambling at bit-level using the improved zigzag method proposed in this paper. After that, the pixel-level image is randomly shuffled once. In the diffusion phase, the row-by-row strategy is adopted, which can change the pixel value of the image, making the image more difficult to crack. The chaotic sequence used in the whole encryption operation is generated by the one-dimensional Logistic Self-embedding (1DLSE) chaotic system proposed in this paper. Compared with the traditional one-dimensional chaotic system, the new chaotic system has more chaotic performance. Simulation results and security analyses demonstrate that the proposed encryption algorithm has superior security and higher efficiency in practical application.

Keywords: 1DLSE; Chaotic performance; Image encryption; Confusion and diffusion (search for similar items in EconPapers)
Date: 2021
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/S0960077921004719
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:150:y:2021:i:c:s0960077921004719

DOI: 10.1016/j.chaos.2021.111117

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. ().