Evidence map›Paper›PMID 33285946›Full record

ArticleEntropy (Basel, Switzerland)2020

A New Image Encryption Algorithm Based on Composite Chaos and Hyperchaos Combined with DNA Coding.

Yujie Wan, Shuangquan Gu, Baoxiang Du

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Breaking Barriers in Emerging Biomedical Applications.Entropy (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Article
  9. Entropy in Image Analysis II.Entropy (Basel, Switzerland) · 2020
    Article
  10. Article
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

3 authors.

Yujie WanElectronic Engineering College, Heilongjiang University, Harbin 150080, China.ORCID 0000-0003-3569-4957
Shuangquan GuElectronic Engineering College, Heilongjiang University, Harbin 150080, China.
Baoxiang DuElectronic Engineering College, Heilongjiang University, Harbin 150080, China.ORCID 0000-0001-6300-5907

Funding

SCIENCE AND TECHNOLOGY INNOVATION SPECIAL PROJECT OF BASIC RESEARCH PROJECT OF BASIC SCIENTIFIC RESEARCH OPERATING EXPENSES OF COLLEGES AND UNIVERSITIES IN HEILONGJIANG PROVINCE IN 2019 KJCX201906
6 · The paper itself

Abstract

In order to obtain chaos with a wider chaotic scope and better chaotic behavior, this paper combines the several existing one-dimensional chaos and forms a new one-dimensional chaotic map by using a modular operation which is named by LLS system and abbreviated as LLSS. To get a better encryption effect, a new image encryption method based on double chaos and DNA coding technology is proposed in this paper. A new one-dimensional chaotic map is combined with a hyperchaotic Qi system to encrypt by using DNA coding. The first stage involves three rounds of scrambling; a diffusion algorithm is applied to the plaintext image, and then the intermediate ciphertext image is partitioned. The final encrypted image is formed by using DNA operation. Experimental simulation and security analysis show that this algorithm increases the key space, has high sensitivity, and can resist several common attacks. At the same time, the algorithm in this paper can reduce the correlation between adjacent pixels, making it close to 0, and increase the information entropy, making it close to the ideal value and achieving a good encryption effect.

Indexed as

chaotic systemsDNA codingimage encryptionsecurity analysis

Identifiers

PMID33285946
PMCPMC7516590

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.