基于Bernstein-Vazirani算法的量子差分密码分析

IF 5.8 2区 物理与天体物理 Q1 OPTICS
Rong-Xue Xu, Hong-Wei Sun, Ke-Jia Zhang, Gang Du, Dan-Dan Li
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引用次数: 0

摘要

最近的研究表明,量子算法有可能利用叠加查询模型中的各种流行结构中的漏洞,例如某些分组密码,如Feistel、Even-Mansour和多个mac。在本研究中,我们深入研究了分组密码对量子威胁的安全性,特别是研究了它们对密码分析技术的敏感性,特别是探索差分密码分析的量子适应性。首先,我们引入了一种基于bv的量子算法,用于识别复杂度为\(O(n)\)的线性结构,其中n表示函数中的比特数。随后,我们说明了该算法在设计量子差分密码分析技术中的应用,包括量子差分密码分析,量子小概率差分密码分析和量子不可能差分密码分析,与先前的方法相比,展示了多项式加速。通过将加密函数视为一个统一的实体,我们的算法规避了差分密码分析中扩展差分路径的传统挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum differential cryptanalysis based on Bernstein-Vazirani algorithm

Recent research has demonstrated the potential of quantum algorithms to exploit vulnerabilities in various popular constructions, such as certain block ciphers like Feistel, Even-Mansour, and multiple MACs, within the superposition query model. In this study, we delve into the security of block ciphers against quantum threats, particularly investigating their susceptibility to cryptanalysis techniques, notably exploring quantum adaptations of differential cryptanalysis. Initially, we introduce a BV-based quantum algorithm for identifying linear structures with a complexity of \(O(n)\), where n denotes the number of bits in the function. Subsequently, we illustrate the application of this algorithm in devising quantum differential cryptanalysis techniques, including quantum differential cryptanalysis, quantum small probability differential cryptanalysis, and quantum impossible differential cryptanalysis, demonstrating polynomial acceleration compared to prior approaches. By treating the encryption function as a unified entity, our algorithm circumvents the traditional challenge of extending differential paths in differential cryptanalysis.

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来源期刊
EPJ Quantum Technology
EPJ Quantum Technology Physics and Astronomy-Atomic and Molecular Physics, and Optics
CiteScore
7.70
自引率
7.50%
发文量
28
审稿时长
71 days
期刊介绍: Driven by advances in technology and experimental capability, the last decade has seen the emergence of quantum technology: a new praxis for controlling the quantum world. It is now possible to engineer complex, multi-component systems that merge the once distinct fields of quantum optics and condensed matter physics. EPJ Quantum Technology covers theoretical and experimental advances in subjects including but not limited to the following: Quantum measurement, metrology and lithography Quantum complex systems, networks and cellular automata Quantum electromechanical systems Quantum optomechanical systems Quantum machines, engineering and nanorobotics Quantum control theory Quantum information, communication and computation Quantum thermodynamics Quantum metamaterials The effect of Casimir forces on micro- and nano-electromechanical systems Quantum biology Quantum sensing Hybrid quantum systems Quantum simulations.
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