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Cited by 90Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

A Novel Color Image Encryption Algorithm Based on Three-Dimensional Chaotic Maps and Reconstruction Techniques

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Qian, Xiaoliang, Yang, Qi, Li, Qingbo, Liu, Qian, Wu, Yuanyuan, Wang, Wei·2021·IEEE Access
DOI 10.1109/access.2021.3073514
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Abstract

In the paper, a novel color image encryption scheme is proposed by use of the three-dimensional chaotic maps and some data reconstruction techniques. In the diffusion process of the encryption algorithm, the three-dimensional chaotic Logistic map is introduced to changes the pixel value of the plain image. Meanwhile, in the confusion process, the three-dimensional chaotic Cat map is applied to deal with the position of the image pixels. Moreover, some data reconstruction techniques are employed for the better encryption result. Furthermore, the corresponding decryption algorithm is also given. The significant advantages of our method are the effectiveness and simplicity, and our proposed method breaks the correlation between image pixel layers, offers a large key space and against differential and statistical attacks effectively. Finally, the superiority of the proposed algorithm will be shown by the experimental results, security analysis, and the corresponding comparisons with literature.

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  • Chaotic systems are highly suitable for cryptographic applications because of their extreme sensitivity to initial conditions, long-term unpredictability, and strong pseudorandomness.

    “Chaotic systems are characterised by their extreme sensitivity to initial conditions and system parameters, resulting in extreme complexity, deterministic and nonlinear characteristics. These properties render chaotic systems highly suitable for cryptographic applications”

    From A novel memristor-based hyperchaotic hybrid encryption system with DNA for image encryption on the Jetson TX2 (2025) · cites this paper as [6]

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Cited by

Sorted by citations

Authors
Qian, X., Yang, Q., Li, Q., Liu, Q., Wu, Y., & Wang, W.
Affiliations
  • Zhengzhou University of Light Industry (CN)
  • Hainan University (CN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2021
Volume
9
Pages
61334-61345
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2021.3073514
OpenAlex
W3156163626
Cited by
90
References
1
Citations by year
2026: 10 · 2025: 15 · 2024: 23 · 2023: 26 · 2022: 13 · 2021: 3
FWCI
5.85
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Hainan Provincial Natural Science Foundation of China (2019CXTD400)
  • National Science Foundation of China (62076223)
  • Key Science and Technology Program of Henan Province (202102210347, 202102210143)
  • Key Research Project of Henan Province University (19A413014)
  • Doctor Fund Project of Zhengzhou University of Light Industry (2019BSJJ014)
  • Natural Science Foundation of Henan province (202300410503)
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
color image encryption, confusion and diffusion, data reconstruction, decryption algorithm, key space, differential attack resistance, statistical attack resistance

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