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Image Encryption Using Fractional Order Linear-Nonlinear Chaos
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Abstract A fractional order chaos system is first designed. It is a linear-nonlinear hybrid using fractional order logistic map. The fractional order chaos system is closer to the real nature phenomena and has better cryptography features than the integer order chaotic systems in dynamics, such as larger range of key space and almost no periodic windows in bifurcation diagrams. Then, we propose an image encryption scheme employing the superior chaotic features of the fractional order chaos system. Which chaotic sequences generated are used for permutation and addition/subtraction operation of encryption depends on the plaintext image. Security analysis and test results indicate that our encryption scheme has a high efficiency and superior security.
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“the differential attack over SCEC cannot be performed because NPCR ≈ 99.96%, as well as UACI ≈ 33.4%, and AC ≈ 50%, indicating the system robustness [49].”
From Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images (2020) · cites this paper as [49]
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“the differential attack over SCEC cannot be performed because NPCR ≈ 99.96%, as well as UACI ≈ 33.4%, and AC ≈ 50%, indicating the system robustness [49].”
From Cryptosystem Based on the Elliptic Curve With a High Degree of Resistance to Damage on the Encrypted Images (2020) · cites this paper as [49]
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References 24 · Cited by 3
Research works printed but not linked: 26
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Metadata
- Authors
- Feng, G.
- Corresponding author
- Feng, Gao
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2020-01-01
- Volume
- 1438
- Issue
- 1
- Pages
- 012010
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W2999873873
- Cited by
- 3
- References
- 24
- Citations by year
- 2024: 1 · 2021: 1 · 2020: 1
- FWCI
- 0.15
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- 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 › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Keywords
- image encryption, fractional-order chaos, chaotic sequences, permutation and diffusion, key space, bifurcation analysis, encryption security
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