Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 429

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Image encryption using 2D Hénon-Sine map and DNA approach

Wu, Jiahui, Liao, Xiaofeng, Yang, Bo·2018·Signal Processing

Abstract

Abstract Chaotic systems have been widely applied in digital image encryption due to their complex properties such as ergodicity, pseudo randomness and extreme sensitivity to their initial values and parameters. This paper first proposes a two-dimensional Henon-Sine map (2D-HSM). The new map possesses better ergodicity and pseudo randomness, and its parameters have a wider chaotic range, compared with many existing chaotic systems. Then a DNA encoding and a DNA exclusive-or (XOR) operation rule are defined because DNA approach applying in image encryption can greatly improve the efficiency of image permutation and diffusion. Furthermore, a novel image encryption scheme whose image pixels are diffused by the DNA approach and permutated by 2D-HSM, is proposed to protect image content while an image is transferred over the Internet. Some experimental analyses such as statistical attack analysis, differential attack analysis, exhaustive attack analysis, robustness against noise and computational complexity have been applied to measure the new scheme, and the experimental results illustrate the scheme possesses better encryption performances than that of other references, and therefore, is secure in real-world communication.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.sigpro.2018.06.008

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 34 references

Cited by

See all 429

Metadata

Authors
Wu, J., Liao, X., & Yang, B.
Venue
Signal Processing
Publisher
Elsevier BV
Published
2018-12
Volume
153
Pages
11-23
ISSN
0165-1684 (ISSN-L)
OpenAlex
W2811350001
Cited by
429
References
34
FWCI
20.06
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Image encryption using 2D Hénon-Sine map and DNA approach. https://app.cochat.ai/papers/10.1016/j.sigpro.2018.06.008
The paper
Wu, J., Liao, X., & Yang, B. (2018). Image encryption using 2D Hénon-Sine map and DNA approach. Signal Processing. https://doi.org/10.1016/j.sigpro.2018.06.008

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.