Evidence map›Paper›PMID 37628177›Full record

ArticleEntropy (Basel, Switzerland)2023

Exploiting Dynamic Vector-Level Operations and a 2D-Enhanced Logistic Modular Map for Efficient Chaotic Image Encryption.

Hongmin Li, Shuqi Yu, Wei Feng, Yao Chen, Jing Zhang, Zhentao Qin, Zhengguo Zhu, Marcin Wozniak

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

8 authors.

Hongmin LiKey Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications, Hunan Institute of Science and Technology, Yueyang 414006, China.
Shuqi YuKey Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications, Hunan Institute of Science and Technology, Yueyang 414006, China.
Wei FengSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.ORCID 0000-0003-3023-5225
Yao ChenSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.
Jing ZhangSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.ORCID 0000-0001-9834-081X
Zhentao QinSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.ORCID 0000-0002-1583-6164
Zhengguo ZhuSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.
Marcin WozniakFaculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.ORCID 0000-0002-9073-5347

Funding

Project of the Sichuan Higher Education Society of China GJXHXXH21-YB-27Research Foundation of Education Bureau of Hunan Province of China 20A219Science and Technology Development Center Project of Chinese Ministry of Education 2021KSA01008
6 · The paper itself

Abstract

Over the past few years, chaotic image encryption has gained extensive attention. Nevertheless, the current studies on chaotic image encryption still possess certain constraints. To break these constraints, we initially created a two-dimensional enhanced logistic modular map (2D-ELMM) and subsequently devised a chaotic image encryption scheme based on vector-level operations and 2D-ELMM (CIES-DVEM). In contrast to some recent schemes, CIES-DVEM features remarkable advantages in several aspects. Firstly, 2D-ELMM is not only simpler in structure, but its chaotic performance is also significantly better than that of some newly reported chaotic maps. Secondly, the key stream generation process of CIES-DVEM is more practical, and there is no need to replace the secret key or recreate the chaotic sequence when handling different images. Thirdly, the encryption process of CIES-DVEM is dynamic and closely related to plaintext images, enabling it to withstand various attacks more effectively. Finally, CIES-DVEM incorporates lots of vector-level operations, resulting in a highly efficient encryption process. Numerous experiments and analyses indicate that CIES-DVEM not only boasts highly significant advantages in terms of encryption efficiency, but it also surpasses many recent encryption schemes in practicality and security.

Indexed as

chaotic performance evaluationchaotic systemdynamic vector-level operationshyperchaotic mapimage encryptionsecurity analysis

Identifiers

PMID37628177
PMCPMC10453646

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.