Quantum Information Protocols for Cryptography

Abd-El-Atty, Bassem; Venegas-Andraca, Salvador E.; El‐Latif, Ahmed A. Abd

doi:10.1007/978-3-319-63639-9_1

Cited by 13 publications

(7 citation statements)

References 45 publications

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“…As we further increase the value of µ, the system still has outstanding chaotic behavior, which almost presents a full mapping state. Figures 4(g) and 4(h) depict the bifurcation diagram of µ ∈ [4,20]. As a result, the proposed 2D-CSLM chaotic system demonstrates a wider range of control parameters and exhibits better stochasticity and ergodicity.…”

Section: Bifurcation Diagrammentioning

confidence: 95%

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Double quantum images encryption scheme based on chaotic system

Jiang 蒋,

Li 李,

Shi 石

et al. 2024

Chinese Phys. B

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This paper explores a double quantum images representation (DNEQR) model that allows for simultaneous storage of two digital images in a quantum superposition state. Additionally, a new type of two-dimensional hyperchaotic system based on Sine and Logistic maps is investigated, offering a wider parameter space and better chaotic behavior compared to the Sine and Logistic maps. Based on the DNEQR model and the hyperchaotic system, a double quantum images encryption algorithm is proposed. Firstly, two classical plaintext images are transformed into quantum states using the DNEQR model. Then, the proposed hyperchaotic system is employed to iteratively generate pseudo-random sequences. These chaotic sequences are utilized to perform pixel value and position operations on the quantum image, resulting in changes to both pixel values and positions. Finally, the ciphertext image can be obtained by qubit-level diffusion using two XOR operations between the position permutated image and the pseudo-random sequences. The corresponding quantum circuits are also given. Experimental results demonstrate that the proposed scheme ensures the security of the images during transmission, improves the encryption efficiency, and enhances anti-interference and anti-attack capabilities.

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Section: Bifurcation Diagrammentioning

confidence: 95%

“…Based on the introduced representation models, many quantum image encryption algorithms have been proposed. [20][21][22][23][24] They can be broadly classified into two categories, i.e., spatial domain and frequency domain. Spatial domain techniques operate directly on the pixels of the image.…”

Section: Introductionmentioning

confidence: 99%

Double quantum images encryption scheme based on chaotic system

Jiang 蒋,

Li 李,

Shi 石

et al. 2024

Chinese Phys. B

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“…The proposed algorithm is compared with some classic encryption algorithms (Refs. [7,[47][48][49][50]), including the information entropy, the adjacent pixel correlation, the NPCR, and UACI, the results are shown in Table 7.…”

Section: Comparing With Other Algorithmsmentioning

confidence: 99%

A secure image protection algorithm by steganography and encryption using the 2D-TSCC*

Li¹,

Wang²,

He³

et al. 2021

Chinese Phys. B

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Based on the two-dimensional (2D) tan-sin-cos-coupling (2D-TSCC), a new image protection method is designed, this method includes steganography and encryption. First, a 2D-TSCC system is designed. The 2D-TSCC has a large parameter space in a hyperchaotic state. The chaotic trajectory fills the entire window. The chaotic sequence generated by the 2D-TSCC has a good pseudorandomness, so it can be used in steganography and encryption. Then, the amount of information contained in each bit of the cover image is analyzed, and the three bits which carry the least amount of information are selected. The secret image is hidden in these three bits base on the 2D-TSCC. Finally, the carrier image is scrambled and diffused by the 2D-TSCC. The ciphertext is generated in this way. Send the ciphertext to the recipient through channel transmission, and the recipient obtains the secret image by decrypting twice.

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“…Quantum computing makes full use of the superposition and entanglement of quantum mechanics, which makes its computation method have unique parallelism, thus speeding up the computation speed. 1 , 2 Image processing using quantum computing has become an important research direction to solve the real-time problem of classical image processing algorithms.…”

Section: Introductionmentioning

confidence: 99%

A quantum synthetic aperture radar image denoising algorithm based on grayscale morphology

Wang,

Liu,

Meng

et al. 2024

iScience

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Quantum Information Protocols for Cryptography

Cited by 13 publications

References 45 publications

Double quantum images encryption scheme based on chaotic system

Double quantum images encryption scheme based on chaotic system

A secure image protection algorithm by steganography and encryption using the 2D-TSCC*

A quantum synthetic aperture radar image denoising algorithm based on grayscale morphology

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