A color image encryption based on chaotic system and PSO-BP neural network and DNA mutation

Chu, Ran; Zhang, Shufang

doi:10.1088/1402-4896/aca0cd

Cited by 5 publications

(1 citation statement)

References 52 publications

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“…Many image protection methods have been proposed, such as image steganography technology, image encryption technology, image watermarking technology [8][9][10][11][12], and so on. Image encryption is one of the most widely used image protection methods.…”

Section: Introductionmentioning

confidence: 99%

Image encryption algorithm based on 1D-SFACF with cross-cyclic shift and adaptive diffusion

Nan

2023

Phys. Scr.

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In this paper, a new one-dimensional chaotic system is proposed, which is called one-dimensional sine-fractional-adjusted-cosine-fractional (1D-SFACF). The dynamic behavior of the 1D-SFACF is analyzed by LE, bifurcation graph, trajectory, and cobweb plot. Compared to most one-dimensional chaotic systems, the 1D-SFACF has good cryptographic properties, such as larger parameter space and better chaotic behavior. Based on the excellent expressiveness of the 1D-SFACF, we design a secure image encryption algorithm using 1D-SFACF, called the image encryption algorithm based on 1D-SFACF (SFACF-IE). SFACF-IE is divided into four steps. First, the control parameters and initial values of 1D-SFACF are generated through a natural noise using a hash function. Secondly, an adaptive diffusion strategy is proposed. The starting position of the plaintext diffusion is adaptively changed according to the characteristics of the plaintext. Then, use a cross-cyclic shift to scramble. Finally, a hash function is used to generate a feedback key, the scrambled image is the input of the hash function, and the ciphertext is obtained by diffusing again. Experimental evaluations show that the algorithm is resistant to common attacks.

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Section: Introductionmentioning

confidence: 99%

Image encryption algorithm based on 1D-SFACF with cross-cyclic shift and adaptive diffusion

Nan

2023

Phys. Scr.

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Color image encryption algorithm based on novel 2D hyper-chaotic system and DNA crossover and mutation

Wang,

Zhang,

Zhao

2023

Nonlinear Dyn

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Compression and encryption for remote sensing image based on PSO-BP and 2D-MCCM

Li,

Feng,

Zhou

et al. 2024

Phys. Scr.

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In response to the large size of remote sensing images and the limitations of existing image compression and encryption algorithms, this paper proposes a novel compression and encryption algorithm. The proposed algorithm utilizes a new type of memristive chaotic mapping in combination with PSO-BP neural networks and multi-threaded parallelism. Specifically, the proposed novel two-dimensional memristive chaotic mapping involves a combination of new memristors based on HP memristors and Cubic chaotic mapping. Compared to existing chaotic systems, this method exhibits stronger randomness and hyperchaotic characteristics. Additionally, to improve the reconstruction accuracy of compressed images, a traditional BP neural network with an added hidden layer is combined with the PSO algorithm for image compression and reconstruction. Furthermore, to enhance the encryption efficiency of remote sensing images, a multi-threaded parallel encryption method is employed, enabling simultaneous permutation within and among threads. Experimental results demonstrate that the proposed algorithm achieves good compression reconstruction accuracy, excellent encryption performance, and resistance to attacks.

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A color image encryption based on chaotic system and PSO-BP neural network and DNA mutation

Cited by 5 publications

References 52 publications

Image encryption algorithm based on 1D-SFACF with cross-cyclic shift and adaptive diffusion

Image encryption algorithm based on 1D-SFACF with cross-cyclic shift and adaptive diffusion

Color image encryption algorithm based on novel 2D hyper-chaotic system and DNA crossover and mutation

Compression and encryption for remote sensing image based on PSO-BP and 2D-MCCM

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