基于混沌量子替换和置换盒的高效ESOP最小化量子图像加密方案

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Manish Kumar, Pranav P. Jagathpathy, Mayank Sharma
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引用次数: 0

摘要

在这项工作中,我们提出了一种新颖,安全,高效的量子图像加密方案,使用量子置换和替换盒。P盒和s盒是使用一维和三维键相关混沌系统生成的。加密算法包括三个主要步骤:s盒替换、逐像素XORing和p盒置换,这些步骤在多轮中依次应用。所提出的量子加密算法使用排他或积和(ESOP)最小化技术进行优化,显着减少了操作次数。经典仿真和各种数值评估证明了加密技术的持久性和加密图像对各种攻击的弹性。为了增加清晰度,附录中给出了使用量子电路的加密过程的全面解释\(4\times 4\)图像,以及仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient ESOP minimization-based quantum image encryption scheme using chaotic quantum substitution and permutation boxes

In this work, we propose a novel, secure, and efficient quantum image encryption scheme using quantum permutation and substitution boxes. The P- and S-boxes are generated using 1D and 3D key-dependent chaotic systems. The encryption algorithm comprises three main steps: S-box substitution, pixel-wise XORing, and P-box permutation, which are applied sequentially in multiple rounds. The proposed quantum encryption algorithm is optimized using an exclusive-or sum-of-products (ESOP) minimization technique that significantly reduces the number of operations. Classical simulation and various numerical evaluations demonstrate the durability of the encryption technique and the resilience of the encrypted image to a variety of attacks. To increase clarity, a comprehensive explanation of the encryption process using quantum circuits is given in the appendix for a \(4\times 4\) image, together with simulation results.

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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.
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