Three-level quantum image encryption based on Arnold transform and logistic map

Liu, Xingbin; Xiao, Di; Liu, Cong

doi:10.1007/s11128-020-02952-7

Cited by 28 publications

(4 citation statements)

References 40 publications

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“…Arnold transform was proposed by Vladimir Igorevich Arnold, a Russian mathematician. Arnold transform can replace the position of each pixel in the image to achieve the purpose of encryption, so it is mostly used in multimedia such as images to improve safety [ 35 ].…”

Section: Methodsmentioning

confidence: 99%

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Ping

Yang

et al. 2022

Entropy

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On the basis of ensuring the quality and concealment of steganographic images, this paper proposes a double-matrix decomposition image steganography scheme with multi-region coverage, to solve the problem of poor extraction ability of steganographic images under attack or interference. First of all, the cover image is transformed by multi-wavelet transform, and the hidden region covering multiple wavelet sub-bands is selected in the wavelet domain of the cover image to embed the secret information. After determining the hidden region, the hidden region is processed by Arnold transform, Hessenberg decomposition, and singular-value decomposition. Finally, the secret information is embedded into the cover image by embedding intensity factor. In order to ensure robustness, the hidden region selected in the wavelet domain is used as the input of Hessenberg matrix decomposition, and the robustness of the algorithm is further enhanced by Hessenberg matrix decomposition and singular-value decomposition. Experimental results show that the proposed method has excellent performance in concealment and quality of extracted secret images, and secret information is extracted from steganographic images attacked by various image processing attacks, which proves that the proposed method has good anti-attack ability under different attacks.

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Section: Methodsmentioning

confidence: 99%

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Ping

Yang

et al. 2022

Entropy

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“…In 2020, Tsafack et al proposed an optical image encryption algorithm based on quantum random walks [16]. In 2021, Liu et al further optimized the information entropy and resistance to noise attacks of encrypted images, using Arnold transformation and logistic mapping methods [17]. In 2022, Zhao et al proposed a color image encryption scheme based on Rubik's Cube control and quantum random walk [18].…”

Section: Introductionmentioning

confidence: 99%

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Mou,

Dong

2024

Phys. Scr.

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In order to solve the problems of privacy leakage, data string modification and attack threats in the field of image encryption information security, and at the same time ensure the security, integrity and reliability of image data. In this paper, we introduce a novel hybrid color image encryption scheme that increases the complexity of the key space and provides better data integrity protection by combining quantum random walk and SHA-256 algorithm. At the same time, the three chaotic systems are combined and multiple XOR operations are introduced to effectively scramble the space and pixel levels of the color image. Through a large number of simulation experiments and security analysis, the results show that the scheme has efficient encryption performance, excellent ability to resist attacks and excellent privacy protection ability.

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“…proposes a method to suppress dynamic degradation of digital chaotic systems and uses the method in image encryption [ 22 ]. With the development of technology, scholars have also proposed image encryption algorithms based on the intersection of chaotic systems and compressive sensing [ 23 , 24 , 25 ], DNA [ 26 , 27 , 28 ], elliptic curve [ 29 , 30 ], quantum theory [ 31 , 32 ], neural networks [ 33 , 34 ], homomorphic encryption [ 35 , 36 ], and other disciplines. For example, Liu et al.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Liu et al. proposed an efficient three-level quantum image encryption scheme based on QArT and Logistic mapping [ 31 ]. Shi et al.…”

Section: Introductionmentioning

confidence: 99%

An Image Encryption Algorithm Based on Complex Network Scrambling and Multi-Directional Diffusion

Sheng

et al. 2022

Entropy

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Various security threats are encountered when keys are transmitted in public channels. In this paper, we propose an image encryption algorithm based on complex network scrambling and multi-directional diffusion. Combining the idea of public key cryptography, the RSA algorithm is used to encrypt the key related to plaintext. The algorithm consists of three stages: key generation stage, complex network scrambling stage, and multi-directional diffusion stage. Firstly, during the key generation phase, SHA-512 and the original image are used to generate plaintext-related information, which is then converted to plaintext-related key through transformation mapping. Secondly, in the complex network scrambling stage, the chaotic random matrix establishes the node relationships in the complex network, which is then used to construct an image model based on the complex network, and then combines pixel-level and block-level methods to scramble images. Finally, in the multi-directional diffusion stage, the multi-directional diffusion method is used to perform forward diffusion, middle spiral diffusion, and backward diffusion on the image in turn to obtain the final ciphertext image. The experimental results show that our encryption algorithm has a large keyspace, the encrypted image has strong randomness and robustness, and can effectively resist brute force attack, statistical attack, and differential attack.

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Three-level quantum image encryption based on Arnold transform and logistic map

Cited by 28 publications

References 40 publications

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

An Image Encryption Algorithm Based on Complex Network Scrambling and Multi-Directional Diffusion

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