A new image encryption algorithm based on logistic chaotic map with varying parameter
Open accessAbstract
In this paper, we proposed a new image encryption algorithm based on parameter-varied logistic chaotic map and dynamical algorithm. The parameter-varied logistic map can cure the weaknesses of logistic map and resist the phase space reconstruction attack. We use the parameter-varied logistic map to shuffle the plain image, and then use a dynamical algorithm to encrypt the image. We carry out several experiments, including Histogram analysis, information entropy analysis, sensitivity analysis, key space analysis, correlation analysis and computational complexity to evaluate its performances. The experiment results show that this algorithm is with high security and can be competitive for image encryption.
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Liu and Miao's Logistic-map-based method with varying parameters can change parameters randomly to improve robustness to phase space reconstruction attacks.
“Their approach can make the parameters change in a random way to improve robustness to the phase space reconstruction attack.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [50]
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Cites
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Sorted by citations
Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“Lingfeng Liu and Suoxia Miao [50] presented a Logistic-map-based image-encryption method with varying parameters.”
Self-citation
- Authors
- Liu, L., & Miao, S.
- Affiliations
- Nanchang University (CN)
- Jiangxi University of Water Resources and Electric Power (CN)
- Corresponding author
- Liu, Lingfeng
- Venue
- SpringerPlus
- Published
- 2016-03-08
- Volume
- 5
- Issue
- 1
- Pages
- 289-289
- ISSN
- 2193-1801 (ISSN-L)
- PMC
- PMC4781823
- OpenAlex
- W2293161194
- Cited by
- 119
- References
- 1
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 4 · 2023: 14 · 2022: 15 · 2021: 12 · 2020: 19 · 2019: 15 · 2018: 13 · 2017: 15 · 2016: 2
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- SpringerPlus (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- 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, logistic map, parameter variation, pixel shuffling, key space analysis, correlation analysis, Shannon entropy, sensitivity analysis, computational complexity
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