Chaotic Image Encryption Algorithm Based on Zigzag Transform With Bidirectional Crossover From Random Position

Gao, Hao; Wang, Xingyuan

doi:10.1109/access.2021.3099214

Cited by 22 publications

(12 citation statements)

References 54 publications

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“…Information entropy is used as a metric to evaluate an image based on the randomness of the distribution of its gray pixels. Equation (11) shows how it is calculated for an image, where p(m i ) represents the probability of occurrence of each symbol m in the total number of M symbols in an image.…”

Section: B Information Entropymentioning

confidence: 99%

“…Many works in the literature showcase algorithms that combine the use of more than a single 1D or MD chaotic functions to achieve high levels of image encryption. The authors of [11] combine the use of the Logistic system with the hyperchaotic Chen system, in addition to a dynamic zigzag pattern which depends on the dimensions of the plain image being encrypted. The idea of utilizing a dynamic key is also proposed by the authors of [1] who combine the use of a fractional order chaotic map with elliptic curves.…”

Section: Introductionmentioning

confidence: 99%

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Color Image Encryption Through Chaos and KAA Map

et al. 2023

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The unprecedented growth in production and exchange of multimedia over unsecured channels is overwhelming mathematicians, scientists and engineers to realize secure and efficient cryptographic algorithms. In this paper, a color image encryption algorithm combining the KAA map with multiple chaotic maps is proposed. The proposed algorithm makes full use of Shannon's ideas of security, such that image encryption is carried out through bit confusion and diffusion. Confusion is carried out through employing 2 encryption keys. The first key is generated from the 2D Logistic Sine map and a Linear Congruential Generator, while the second key is generated from the Tent map and the Bernoulli map. Diffusion is attained through the use of the KAA map. An elaborate mathematical analysis is carried out to showcase the robustness and efficiency of the proposed algorithm, as well as its resistance to visual, statistical, differential and brute-force attacks. Moreover, the proposed image encryption algorithm is also shown to successfully pass all the tests of the NIST SP 800 suite.

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Section: B Information Entropymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Color Image Encryption Through Chaos and KAA Map

et al. 2023

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“…The zigzag transform is capable of rearranging the cells of a 2D matrix to heavily decrease the correlation between adjacent pixels, an important property when considering image encryption. Gao et al [110] proposed an algorithm for image encryption utilizing a more complicated implementation of the transform that yields better security.…”

Section: Zigzag Transformmentioning

confidence: 99%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

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Recently, many researchers have been interested in the application of chaos in cryptography. Specifically, numerous research works have been focusing on chaotic image encryption. A comprehensive survey can highlight existing trends and shed light on less-studied topics in the area of chaotic image encryption. In addition to such a survey, this paper studies the main challenges in this field, establishes an ecosystem for chaotic image encryption, and develops a future roadmap for further research in this area.

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“…The use of this key matrix results in an acute reduction in the number of required iterations of the utilized hyperchaotic system. In [39], a color image encryption scheme that involves the use of chaos theory and a zigzag transform is proposed. The authors employ the zigzag transform in conjunction with an arrangement that changes in a bidirectional crossover manner to carry out the first stage of image encryption.…”

Section: Introductionmentioning

confidence: 99%

RGB Image Encryption through Cellular Automata, S-Box and the Lorenz System

2022

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The exponential growth in transmission of multimedia over the Internet and unsecured channels of communications is putting pressure on scientists and engineers to develop effective and efficient security schemes. In this paper, an image encryption scheme is proposed to help solve such a problem. The proposed scheme is implemented over three stages. The first stage makes use of Rule 30 cellular automata to generate the first encryption key. The second stage utilizes a well-tested S-box, whose design involves a transformation, modular inverses, and permutation. Finally, the third stage employs a solution of the Lorenz system to generate the second encryption key. The aggregate effect of this 3-stage process insures the application of Shannon’s confusion and diffusion properties of a cryptographic system and enhances the security and robustness of the resulting encrypted images. Specifically, the use of the PRNG bitstreams from both of the cellular automata and the Lorenz system, as keys, combined with the S-box, results in the needed non-linearity and complexity inherent in well-encrypted images, which is sufficient to frustrate attackers. Performance evaluation is carried out with statistical and sensitivity analyses, to check for and demonstrate the security and robustness of the proposed scheme. On testing the resulting encrypted Lena image, the proposed scheme results in an MSE value of 8923.03, a PSNR value of 8.625 dB, an information entropy of 7.999, NPCR value of 99.627, and UACI value of 33.46. The proposed scheme is shown to encrypt images at an average rate of 0.61 Mbps. A comparative study with counterpart image encryption schemes from the literature is also presented to showcase the superior performance of the proposed scheme.

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Chaotic Image Encryption Algorithm Based on Zigzag Transform With Bidirectional Crossover From Random Position

Cited by 22 publications

References 54 publications

Color Image Encryption Through Chaos and KAA Map

Color Image Encryption Through Chaos and KAA Map

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

RGB Image Encryption through Cellular Automata, S-Box and the Lorenz System

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