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Cited by 20Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

Image Encryption Algorithm Based on Bit-Level Permutation and Dynamic Overlap Diffusion

Open access
Wang, Jia, Li, Jinqing, Di, Xiaoqiang, Zhou, Jian, Man, Zhenlong·2020·IEEE Access
DOI 10.1109/access.2020.3020187
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Abstract

In order to guarantee the security of digital images, image encryption is a good tool. This article puts forward a novel image encryption/decryption algorithm based on bit-level permutation and dynamic overlap diffusion. Firstly, location information set by users is used to scramble the plain image in the bit-level, changing the pixel position of the image while changing the pixel value. Then, using the plaintext related method to control the iteration parameters of Arnold transform. These two parts together form the permutation process of the algorithm. Thirdly, the overlap steps are set according to the encryption security requirements, and dynamic overlap diffusion is performed on the permutation image. At the same time, the plaintext information entropy and variance are used to update the diffusion key in the five-dimensional hyperchaotic system to achieve the plaintext correlation of the encryption key. Arnold transform and dynamic overlap diffusion can ensure that different key streams are generated when encrypting different images. Finally, experimental analysis and numerical simulation show that our algorithm has high efficiency, high security, high sensitivity, and can effectively resist various attacks.

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  • The work of Chen et al. uses a neural network with reaction-diffusion and a chaotic cryptosystem, includes a maximum of processes to carry out image encryption, and hence consumes more time and also affects SSIM performance.

    “The work carried out by Chen et.al. has used neural network with reaction-diffusion where chaotic cryptosystem is used [56].This system includes maximum processes in order to carry out image encryption and hence consumes more time and also affects in SSIM performance.”

    From A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM (2024) · cites this paper as [56]

    The Introduction discusses chaotic image encryption and notes that a different bit-level algorithm requires repeated operations, but it does not describe the claimed Chen et al. system. The SSIM passage in the experimental analysis evaluates this paper’s own algorithm, not Chen et al.’s. Searches for reaction-diffusion, neural networks, encryption time, and SSIM found no passage connecting them as claimed. (LLM, conf=0.76)

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Cited by

Sorted by citations

Authors
Wang, J., Li, J., Di, X., Zhou, J., & Man, Z.
Affiliations
Changchun University of Science and Technology (CN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2020
Volume
8
Pages
160004-160024
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2020.3020187
OpenAlex
W3082746383
Cited by
20
References
4
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 1
FWCI
0.97
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
  • Science and Technology Department of Jilin Province through the Natural Science Foundation Project (20190201188JC)
  • Education Department of Jilin Province through the Higher Education Teaching Reform Research Project and the Educational Science Planning Project (JLLG685520190725093004, 20181219140301)
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
image encryption, bit-level permutation, Arnold transform, hyperchaotic systems, keystream generation, pixel scrambling

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