Colour image encryption via fractional chaotic state estimation

Montesinos-García, Juan Javier; Martínez-Guerra, Rafael

doi:10.1049/iet-ipr.2017.0817

Cited by 14 publications

(8 citation statements)

References 34 publications

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“…Juan et.al. [26] use synchronization of fractional chaotic system based encryption method for encrypting color RGB images and text. The security of the image is ensured by utilizing the properties of chaotic fractional system.…”

Section: Introductionmentioning

confidence: 99%

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

Thiyagarajan¹,

Murugan²,

Gounden³

2019

Serb J Electr Eng

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A chaotic cipher is presented in this paper using 1-Dimensional and 2-Dimensional chaotic maps like logistic, Chebyshev and Arnold cat map. Permutation phase utilizes logistic map followed by Arnold cat map whereas in diffusion phase, Chebyshev's map is used. Subsequently, another complex diffusion matrix is generated from the original image. This matrix is employed to enhance the diffusion effect further. Eventually, strong input image sensitivity is explored due to this diffusion. Simulation results exhibit that the recommended cipher ensures not only high key and entropy value but also less correspondence between nearby pixels along all directions. The key point of this cipher is the high Number of Pixels Change Rate (NPCR) and Unified Average Changing Intensity (UACI) values. Due to this impact, the proposed cipher produces completely random encrypted images.

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Section: Introductionmentioning

confidence: 99%

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

Thiyagarajan¹,

Murugan²,

Gounden³

2019

Serb J Electr Eng

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“…Recently, the image processing community has developed an interest in chaotic fractional-order dynamical systems [44]. Specifically, their applications in image cryptosystems have gained traction due to their superior performance compared to their integer-order counterparts [45][46][47][48][49]. The authors of [45] propose a secure image cryptosystem that employs smoothed sliding modes state observers for fractional-order chaotic systems.…”

Section: Of 42mentioning

confidence: 99%

A 3-Layer PSN for Image Encryption Utilizing Fractional-Order Chen Hyperchaotic Map and Cryptographically-Secure PRNGs

Alexan¹,

Alexan²,

Gabr³

2023

Preprint

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Image encryption is increasingly becoming an important area of research in information security and network communications, as digital images are widely used in various applications and are vulnerable to various types of attacks. In this research work, a color image cryptosystem that is based on a 3-layer permutation-substitution network (PSN) is proposed. For every layer, an encryption key and an S-box are generated and utilized. Those are based on a four-dimensional (4D) dynamical Chen system of a fractional-order, the Mersenne Twister, OpenSLL, Rule 30 Cellular Automata and Intel’s MKL. The sequential application of Shannon’s ideas of diffusion and confusion for 3 times guarantees a total distortion of any input plain image, resulting in a totally encrypted one. Apart from the excellent and comparable performance to counterpart algorithms from the literature, showcasing resistance to visual, statistical, entropy, differential, known plaintext and brute-force attacks, the proposed image cryptosystem provides an exceptionally superior performance in 2 aspects: a vast key space of 2^1658 and an average encryption rate of 3.34 Mbps. Furthermore, the proposed image cryptosystem is shown to successfully pass all the tests of the NIST SP 800 suite.

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“…A random order substitution is utilised to isolate the adjacent pixels. Montesinos‐García and Martinez‐Guerra [49] introduced an image encryption algorithm based on fractional chaotic systems. The proposed approach provides security against known‐plaintext and chosen‐plaintext attacks.…”

Section: Introductionmentioning

confidence: 99%

Parallel strength Pareto evolutionary algorithm‐II based image encryption

2020

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In recent years, many image encryption approaches have been proposed on the basis of chaotic maps. The various types of chaotic maps such as one‐dimensional and multi‐dimensional have been used to generate the secret keys. Chaotic maps require some parameters and value assignment to these parameters is very crucial. Because, poor value assignments may make the chaotic map un‐chaotic. Therefore, hyper‐parameter tuning of chaotic maps is required. Recently, meta‐heuristic based image encryption approaches have been designed by researchers to resolve this issue. However, the majority of the techniques suffer from poor computational speed and stuck in local optima problems. Therefore, in this study, a strength Pareto evolutionary algorithm‐II based meta‐heuristic approach is proposed to tune the hyper‐parameters of the four‐dimensional chaotic map. The proposed approach is also implemented in a parallel fashion to enhance the computational speed. The effectiveness of the proposed approach is evaluated through extensive experiments. Comparative analyses show that the proposed approach outperforms the competitive approaches in terms of entropy, NPCR, UACI, and PSNR by 0.9834, 1.0728, 0.9134, and 0.8971normal%, respectively.

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Colour image encryption via fractional chaotic state estimation

Cited by 14 publications

References 34 publications

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

A 3-Layer PSN for Image Encryption Utilizing Fractional-Order Chen Hyperchaotic Map and Cryptographically-Secure PRNGs

Parallel strength Pareto evolutionary algorithm‐II based image encryption

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