Scattering-medium-based optical image encryption by chaos and digital optical phase conjugation

Yu, Xuelian; Man, Man; Xiao, Jun; Sun, Yan Qian; Li, Xiu Fang; Jiang, Pengbo; Wang, Kang Wei

doi:10.1080/09500340.2022.2110294

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…By merging multiple images into one image with a computational integral imaging algorithm, the efficiency and security of image encryption are significantly improved, and the contour effect caused by the DNA encryption algorithm is solved because of the high randomness of the chaotic algorithm. To reduce redundant encryption operations and focus on protecting important areas, Song et al [40] proposed a fast image encryption algorithm based on the object detection model and chaotic system, so that the detected objects were well-protected. Yu et al [41] proposed an image encryption algorithm with good attack resistance.…”

Section: Related Workmentioning

confidence: 99%

Fast Image Encryption Algorithm for Logistics-Sine-Cosine Mapping

Wang

Xiang

et al. 2022

Sensors

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Because images are vulnerable to external attacks in the process of network transmission and traditional image encryption algorithms have limitations such as long encryption time, insufficient entropy or poor diffusion of cipher image information when encrypting color images, a fast image encryption algorithm based on logistics-sine-cosine mapping is proposed. The algorithm first generates five sets of encrypted sequences from the logistics-sine-cosine mapping, then uses the order of the encryption sequence to scramble the image pixels and designs a new pixel diffusion network to further improve the key sensitivity and plain-image sensitivity of the encryption algorithm. Finally, in a series of security analysis experiments, the experimental image Lena was tested 100 times, and the average encryption time was 0.479 s. The average value of the information entropy, pixel change rate and uniform average change intensity of the cipher image reached 7.9994, 99.62% and 33.48%, respectively. The experimental results show that the fast image encryption algorithm based on logistics-sine-cosine mapping takes less time to encrypt, and the cipher image has good information entropy and diffusivity. It is a safe and effective fast image encryption algorithm.

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Section: Related Workmentioning

confidence: 99%

Fast Image Encryption Algorithm for Logistics-Sine-Cosine Mapping

Wang

Xiang

et al. 2022

Sensors

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“…Also, fast processing of key generation and ciphertext recording on computers are efficiently implemented with CGH. Therefore, optical encryption and decryption can be realized by combining CGH and the traditional encryption technology, such as hologram encryption based on random phase coding [14][15][16] , hologram encryption for multiple images 17,18 , and hologram based on chaos [19][20][21] .…”

Section: Introductionmentioning

confidence: 99%

Multiple-image authentication scheme based on the phase-only holograms

Jiang,

Sui,

Wang

et al. 2024

International Conference on Optical and Photonic Engineering (icOPEN 2023)

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“…It has close relevance to our daily live [1][2][3][4], especially in technological applications [5]. Since Lorenz explicitly proposed the concept of chaos in 1963 [6], chaos has been widely used in the field of operations research [7], image encryption [8][9][10], secure communications [11][12][13], neural networks, economics, physical and engineering technology [14], data-driven extreme event prediction and control [15], and many other disciplines. In classical systems, chaos is described by the exponential sensitivity of the system in time to initial conditions, but in quantum world can not be characterized in the same way, since the phase space trajectories lose its physical mechanism due to the Heisenberg uncertainty principle [16].…”

Section: Introductionmentioning

confidence: 99%

Chaos generation of superconducting quantum bits coupled with LC resonant circuits

Lu,

Wu,

2024

Phys. Scr.

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The dynamics of chaos have been widely used in nonlinear science, such as neural networks, extreme event statistics, and the biophysics of chaos self-organization. Superconducting qubits are artificial atoms based on the Josephson junction structure of nonlinear superconducting devices, offering high design flexibility and ease of coupling and control. In this paper, the generation of chaos through the coupling between superconducting qubits and LC resonant circuits is investigated. By varying the ratio of Josephson energy to charge energy, the coupling coefficient, and the energy of the external driving field, the generation and control of chaos within the system are numerically analyzed. This study provides theoretical support for parameter selection ensuring the confidentiality and fidelity of quantum information transmission based on the chaotic dynamics of superconducting qubits.

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Scattering-medium-based optical image encryption by chaos and digital optical phase conjugation

Cited by 6 publications

References 29 publications

Fast Image Encryption Algorithm for Logistics-Sine-Cosine Mapping

Fast Image Encryption Algorithm for Logistics-Sine-Cosine Mapping

Multiple-image authentication scheme based on the phase-only holograms

Chaos generation of superconducting quantum bits coupled with LC resonant circuits

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