Cited by 3Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

Chaos-based remote sensing image encryption algorithm using dynamic Hachimoji DNA coding and gene editing

Wang, Quanyv, Yang, Yalong, Zhang, Xiaoqiang·2026·Signal, Image and Video Processing

Integrity signals

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Crossref · 10.1007/s11760-026-05253-1

Cites

25 of 25 references verified0 citation errors · 0 not checkable

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  • Recent chaos-and DNA-based image encryption algorithms, despite offering near-ideal entropy and strong differential-attack resistance, do not address quantum-resistant key exchange.

    “Notably, even the most recent chaos-and DNA-based image encryption algorithms [12][13][14], despite offering near-ideal entropy and strong differential-attack resistance, do not address quantum-resistant key exchange”

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Authors
Wang, Q., Yang, Y., & Zhang, X.
Affiliations
  • Anhui Jianzhu University (CN)
  • China University of Mining and Technology (CN)
Corresponding author
Wang, Quanyv
Venue
Signal, Image and Video Processing
Published
2026-03
Volume
20
Issue
3
ISSN
  • 1863-1703 (ISSN-L)
  • 1863-1711
OpenAlex
W7134990014
Cited by
3
References
25
Citations by year
2026: 3
FWCI
8.58
Type
journal article
Language
en
Open access
closed
Locations
Signal Image and Video Processing (publishedVersion)
Funders
  • Scientific Research Project of Anhui Jianzhu University (2024QDHZ11)
  • National Key Research and Development Program of China (2024YFC3808100)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
Keywords
genome editing, hyperchaotic systems, geospatial data security, image scrambling, key space, differential attack resistance

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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.

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