Evidence map›Paper›PMID 36010719›Full record

ArticleEntropy (Basel, Switzerland)2022

Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion.

Ting Wang, Bin Ge, Chenxing Xia, Gaole Dai

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ting WangCollege of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China.
Bin GeCollege of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China.
Chenxing XiaCollege of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China.
Gaole DaiCollege of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China.

Funding

Graduate innovation fund project of Anhui University of science and technology 2021CX2101the Anhui Provincial Natural Science Foundation 2108085QF258the National Science Foundation of China 6210071479the Natural Science Research Project of Colleges and Universities in Anhui Province KJ2020A0299the University-level general projects of Anhui University of science and technology xjyb2020-04the University-level key projects of Anhui University of science and technology QN2019102
6 · The paper itself

Abstract

To address the problem of a poor security image encryption algorithm based on a single chaotic map, this paper proposes a cascade modulation chaotic system (CMCS) that can generate multiple chaotic maps. On this basis, a multi-image encryption algorithm with block-scrambling-diffusion is proposed using CMCS. The algorithm makes full use of the features of CMCS to achieve the effect of one encryption at a time for images. Firstly, the key-value associated with the plaintexts is generated using a secure hash algorithm-512 (SHA-512) operation and random sequence, and the three images are fully confused by the double scrambling mechanism. Secondly, the scrambled image is converted into a bit-level matrix, and the pixel values are evenly distributed using the bit-group diffusion. Finally, the non-sequence diffusion of hexadecimal addition and subtraction rules is used to improve the security of the encryption algorithm. Experimental results demonstrate that the encryption algorithm proposed in this paper has a good encryption effect and can resist various attacks.

Indexed as

bit-group diffusionblock-scrambling-diffusioncascade modulation chaotic systemdouble scrambling mechanismmulti-image encryption

Identifiers

PMID36010719
PMCPMC9407379

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.