A chaotic image encryption algorithm based on sliding window and pseudo-random stack shuffling

Cao, Pengfei; Teng, Lin

doi:10.1007/s11071-024-09727-0

Nonlinear Dyn

2024

DOI: 10.1007/s11071-024-09727-0

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A chaotic image encryption algorithm based on sliding window and pseudo-random stack shuffling

Pengfei Cao,

Lin Teng

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2024

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Cited by 3 publications

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Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization

Marwan,

Li,

Ahmad

et al. 2024

Nonlinear Dyn

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Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization

Marwan,

Li,

Ahmad

et al. 2024

Nonlinear Dyn

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Multi-image encryption based on 3D space scrambling and new spatiotemporal chaotic system

Hanrui,

Teng,

2024

Phys. Scr.

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In this paper, a novel spatiotemporal chaotic system is proposed, along with a new encryption method that combines scrambling and diffusion synchronization. This method is applied to the field of multi-image encryption. Specifically, a new spatiotemporal chaotic system, DCMLMDF, is introduced by incorporating a dynamic coupling method and a random delay feedback mechanism, which enhances the randomness and complexity of the encryption process. By integrating DCMLMDF with the multi-image encryption method designed in this paper, three-dimensional space scrambling and diffusion synchronization are achieved, effectively addressing the limitations of traditional encryption methods, such as prolonged encryption time and periodic risks. The results show that the encryption method proposed in this paper not only effectively confuses the image data but also improves the overall security of the system. This research advances the application of chaotic systems in the field of image encryption.

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Cross-Channel Color Image Encryption Scheme Based on Discrete Memristive Coupled Neurons and DWT Compression

Cao,

Cai,

et al. 2024

Electronics

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To address the consumption and security of color images for transmission and storage, a cross-channel color image encryption scheme based on a discrete memristive coupled neuron model and DWT compression is designed in this article. Firstly, the dynamics of the discrete memristive coupled neuron system are analyzed and found to possess the hyperchaotic phenomenon, which provides sufficient security for the encryption scheme. Secondly, the color image processed by discrete wavelet transform (DWT) has a quarter of the previous capacity. Then, the color image is combined with a Hash function, and the resulting Hash sequence is given the initial value of the hyperchaotic system. Next, a particle swarm foraging algorithm (PSFA) is designed to better disrupt the correlation in the RGB channel. Finally, a complementary DNA coding rule is implemented for the further encryption of color images. Simulation results show that even with DWT lossy compression, the recovered image can be clearly seen. The performance analysis illustrates that under the hyperchaotic system, the proposed encryption algorithm brings higher security for color images.

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A chaotic image encryption algorithm based on sliding window and pseudo-random stack shuffling

Cited by 3 publications

References 47 publications

Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization

Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization

Multi-image encryption based on 3D space scrambling and new spatiotemporal chaotic system

Cross-Channel Color Image Encryption Scheme Based on Discrete Memristive Coupled Neurons and DWT Compression

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