Quantum Image Encryption Based on Henon Mapping

According to the higher security of higher-dimensional chaotic system, a new scheme of quantum image encryption and decryption based on Lorenz hyper-chaotic system is proposed. The encryption process is mainly divided into two parts: the location information scrambling process and the color information replacement process. In the location information scrambling process, the pseudo-random sequence obtained by the Lorenz hyper-chaotic system is first sorted to obtain the corresponding position index sequence, and then the rows and columns of the position information are scrambled by the index sequence. In the process of color replacement, the change of pixel value is firstly diffused to each pixel through chaotic sequence, and then the information of each pixel is confused, so as to realize the process of color information replacement. Experimental analysis shows that the encryption scheme in this paper has a good effect.

Download Full-text

Double Quantum Image Encryption Based on Arnold Transform and Qubit Random Rotation

Entropy ◽

10.3390/e20110867 ◽

2018 ◽

Vol 20 (11) ◽

pp. 867 ◽

Cited By ~ 5

Author(s):

Xingbin Liu ◽

Di Xiao ◽

Cong Liu

Keyword(s):

Computational Complexity ◽

Image Encryption ◽

Superior Performance ◽

Double Quantum ◽

Arnold Transform ◽

Quantum Image ◽

Classical Counterpart ◽

Quantum Image Encryption ◽

Random Rotation ◽

Key Space

Quantum image encryption offers major advantages over its classical counterpart in terms of key space, computational complexity, and so on. A novel double quantum image encryption approach based on quantum Arnold transform (QAT) and qubit random rotation is proposed in this paper, in which QAT is used to scramble pixel positions and the gray information is changed by utilizing random qubit rotation. Actually, the independent random qubit rotation operates once, respectively, in spatial and frequency domains with the help of quantum Fourier transform (QFT). The encryption process accomplishes pixel confusion and diffusion, and finally the noise-like cipher image is obtained. Numerical simulation and theoretical analysis verify that the method is valid and it shows superior performance in security and computational complexity.

Download Full-text

Quantum Image Encryption Scheme Using Arnold Transform and S-box Scrambling

Entropy ◽

10.3390/e21040343 ◽

2019 ◽

Vol 21 (4) ◽

pp. 343 ◽

Cited By ~ 9

Author(s):

Hui Liu ◽

Bo Zhao ◽

Linquan Huang

Keyword(s):

Image Encryption ◽

Quantum Chaos ◽

Initial Conditions ◽

Chaotic Map ◽

Gray Level ◽

Encryption Scheme ◽

Arnold Transform ◽

Quantum Image ◽

Quantum Image Encryption ◽

Mutation Operation

The paper proposes a lossless quantum image encryption scheme based on substitution tables (S-box) scrambling, mutation operation and general Arnold transform with keys. First, the key generator builds upon the foundation of SHA-256 hash with plain-image and a random sequence. Its output value is used to yield initial conditions and parameters of the proposed image encryption scheme. Second, the permutation and gray-level encryption architecture is built by discrete Arnold map and quantum chaotic map. Before the permutation of Arnold transform, the pixel value is modified by quantum chaos sequence. In order to get high scrambling and randomness, S-box and mutation operation are exploited in gray-level encryption stage. The combination of linear transformation and nonlinear transformation ensures the complexity of the proposed scheme and avoids harmful periodicity. The simulation shows the cipher-image has a fairly uniform histogram, low correlation coefficients closed to 0, high information entropy closed to 8. The proposed cryptosystem provides 2256 key space and performs fast computational efficiency (speed = 11.920875 Mbit/s). Theoretical analyses and experimental results prove that the proposed scheme has strong resistance to various existing attacks and high level of security.

Download Full-text