Evidence map›Paper›PMID 33267033›Full record

ArticleEntropy (Basel, Switzerland)2019

Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes.

Taiyong Li, Jiayi Shi, Xinsheng Li, Jiang Wu, Fan Pan

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 99 citations in OpenAlex.

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  8. Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting.Journal of environmental and public health · 2022
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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

5 authors at 2 institutions in 1 country.

Taiyong LiSchool of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.ORCID 0000-0002-1546-8015
Jiayi ShiSchool of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.
Xinsheng LiCollege of Computer Science, Sichuan University, Chengdu 610064, China.
Jiang WuSchool of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.
Fan PanCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China.ORCID 0000-0001-9119-7387
Southwestern University of Finance and Economics · CNSichuan University · CN

Funding

the Fundamental Research Funds for the Central Universities JBK1902029
6 · The paper itself

Abstract

Image encryption is one of the essential tasks in image security. In this paper, we propose a novel approach that integrates a hyperchaotic system, pixel-level Dynamic Filtering, DNA computing, and operations on 3D Latin Cubes, namely DFDLC, for image encryption. Specifically, the approach consists of five stages: (1) a newly proposed 5D hyperchaotic system with two positive Lyapunov exponents is applied to generate a pseudorandom sequence; (2) for each pixel in an image, a filtering operation with different templates called dynamic filtering is conducted to diffuse the image; (3) DNA encoding is applied to the diffused image and then the DNA-level image is transformed into several 3D DNA-level cubes; (4) Latin cube is operated on each DNA-level cube; and (5) all the DNA cubes are integrated and decoded to a 2D cipher image. Extensive experiments are conducted on public testing images, and the results show that the proposed DFDLC can achieve state-of-the-art results in terms of several evaluation criteria.

Indexed as

3D Latin cubediffusionDNA computingdynamic filteringimage encryptionpermutation

Identifiers

PMID33267033
PMCPMC7514804
OpenAlexW2923473698

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.