A quantum image encryption algorithm based on chaotic system and Rubik’s cube principle

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2024-07-25 DOI:10.1007/s11128-024-04492-w
Fa-You Song, Guang-Bao Xu, Hua-Kun Wang, Dong-Huan Jiang
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Abstract

This paper presents a quantum image encryption algorithm based on a novel 3D chaotic system and the quantum Rubik’s cube principle. Initially, we propose a new 3D chaotic system for generating chaotic key sequences and chaotic images. Subsequently, we introduce the quantum Rubik’s cube principle, which serves as a fundamental component of our encryption scheme. The scheme consists of two stages: In the first stage, chaotic key sequences control the operation of the quantum Rubik’s cube principle, enabling pixel permutation in the encrypted image. In the second stage, the scrambled image undergoes bitwise XOR with the chaotic image, facilitating pixel diffusion through quantum bitwise XOR operations. By leveraging the chaotic system’s sensitivity to initial values and its large key space, our proposed scheme effectively resists statistical attacks and noise interference. The time complexity of our scheme is exponential reduced compared to its classical counterpart. We also conduct experiments on both the IBM Qiskit platform and a classical computer and analyze the results.

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基于混沌系统和魔方原理的量子图像加密算法
本文提出了一种基于新型三维混沌系统和量子魔方原理的量子图像加密算法。首先,我们提出了一种新的三维混沌系统,用于生成混沌密钥序列和混沌图像。随后,我们介绍了量子魔方原理,它是我们加密方案的基本组成部分。该方案包括两个阶段:在第一阶段,混沌密钥序列控制量子魔方原理的运行,实现加密图像的像素排列。在第二阶段,加扰图像与混沌图像进行比特XOR运算,通过量子比特XOR运算促进像素扩散。利用混沌系统对初始值的敏感性及其庞大的密钥空间,我们提出的方案能有效抵御统计攻击和噪声干扰。与经典方案相比,我们方案的时间复杂度呈指数级降低。我们还在 IBM Qiskit 平台和经典计算机上进行了实验,并对结果进行了分析。
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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
期刊最新文献
Enhanced adiabatic quantum algorithm in finite-temperature reservoirs via squeezing Measurement dependence in tripartite non-locality Quantum state transfer and distribution of past–future correlations in a quantum network A novel scalable three-level hierarchical quantum information splitting scheme for two-qubit unknown states Complex dynamics of a quantum Cournot duopoly game with two different objectives
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