Cross-plane multi-image encryption using chaos and blurred pixels

Xingyuan Wang and Huipeng Liu

Chaos, Solitons & Fractals, 2022, vol. 164, issue C

Abstract: While studying remote sensing images, it is found that the band of remote sensing images can be used as a carrier to store different images. Therefore, this paper proposes a novel joint encryption scheme for multiple images of different sizes and types. Due to the high time efficiency of multi-image joint encryption, we propose a 1D-SASCS chaotic system, which can effectively solve the problem of time efficiency of encryption. Before encryption, we blur the pixels of several images (i.e. binary scrambling), scramble any two of the 8 bits, and fill the scrambled information into a smaller size image by splicing every 8 bits into a pixel, The bit plane pixels before and after scrambling are spliced into random size images, which are combined with SHA-512 to generate keys, and then three-dimensional cross-plane scrambling and unconventional sequence diffusion are carried out. At the same time, this algorithm is also applicable to the encryption of single or multiple remote sensing images. Finally, through the simulation experiment analysis of the encryption scheme, the test results of information entropy, Histogram, and correlation are very close to the ideal value. The algorithm is extremely secure in a large number of test performance analysis results.

Keywords: Multi-image joint encryption; New chaotic system; Pixel blur; Cross-plane scrambling; Unconventional sequential diffusion (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077922007755
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:164:y:2022:i:c:s0960077922007755

DOI: 10.1016/j.chaos.2022.112586

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. ().