Evidence map›Paper›PMID 40422468›Full record

ArticleEntropy (Basel, Switzerland)2025

A Novel One-Dimensional Chaotic System for Image Encryption in Network Transmission Through Base64 Encoding.

Linqing Huang, Qingye Huang, Han Chen, Shuting Cai, Xiaoming Xiong, Jian Yang

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Linqing HuangSchool of Advanced Manufacturing, Guangdong University of Technology, Jieyang 522000, China.ORCID 0000-0001-9636-499X
Qingye HuangInstitute of Collaborative Innovation, University of Macau, Macau, China.
Han ChenSchool of Marine Science and Technology, Shanwei Institute of Technology, Shanwei 516600, China.
Shuting CaiSchool of Integrated Circuits, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-2842-6439
Xiaoming XiongSchool of Integrated Circuits, Guangdong University of Technology, Guangzhou 510006, China.
Jian YangSchool of Automation, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0003-2932-9224

Funding

Guangdong Provincial Youth Innovation Talent Program for Colleges and Universities 2024KQNCX182Shanwei Institute of technology research start-up funding projects SKQD2021Y-022The Guangdong-Hong Kong-Macao Joint Innovation Field Project No.2021A0505080006The Key Area R \& D Program of Guangdong Province 2022B0701180001The National Natural Science Foundation of China 61801127The Science Technology Planning Project of Guangdong Province, China No.2019B010140002, No.2020B111110002
6 · The paper itself

Abstract

Continuous advancements in digital image transmission technology within network environments have heightened the necessity for secure, convenient, and well-suited image encryption systems. Base64 encoding possesses the ability to convert raw data into printable ASCII characters, facilitating excellent stability transmission across various communication protocols. In this paper, base64 encoding is first used in image encryption to pursue high application value in network transmission. First, a novel one-dimensional discrete chaotic system (1D-LSCM) with complex chaotic behavior is introduced and extensively tested. Second, a new multi-image encryption algorithm based on the proposed 1D-LSCM and base64 encoding is presented. Technically, three original grayscale images are constructed as a color image and encoded in base64 characters. To purse high plaintext sensitivity, the original image is input to the SHA-256 hash function and its output is used to influence the generated keystream employed in the permutation and diffusion process. After scramble and diffusion operations, the base64 ciphertext is obtained. Finally, test results derived from comprehensive tests prove that our proposed algorithm has remarkable security and encryption efficiency.

Indexed as

1D-chaotic systembase64 encodingmultiple image encryptionnetwork transmissionplaintext sensitivitySHA-256 hash function

Identifiers

PMID40422468
PMCPMC12110694

What OpenQuestion holds

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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.