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基于阿诺德变换和量子比特随机旋转的双量子图像加密

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

作者信息

Liu Xingbin, Xiao Di, Liu Cong

机构信息

College of Computer Science, Chongqing University, Chongqing 400044, China.

Southwest Technology and Engineering Research Institute, Chongqing 40039, China.

出版信息

Entropy (Basel). 2018 Nov 10;20(11):867. doi: 10.3390/e20110867.

Abstract

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.

摘要

量子图像加密在密钥空间、计算复杂度等方面相对于传统图像加密具有显著优势。本文提出了一种基于量子阿诺德变换(QAT)和量子比特随机旋转的新型双量子图像加密方法,其中QAT用于置乱像素位置,利用随机量子比特旋转来改变灰度信息。实际上,借助量子傅里叶变换(QFT),独立的随机量子比特旋转分别在空间域和频率域各操作一次。加密过程实现了像素置乱和扩散,最终得到类似噪声的密文图像。数值模拟和理论分析验证了该方法的有效性,并且在安全性和计算复杂度方面表现出优越性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f5/7512429/3b79f9869312/entropy-20-00867-g001.jpg

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