Accelerating QKD post-processing by secure offloading of information reconciliation

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computers & Electrical Engineering Pub Date : 2024-09-27 DOI:10.1016/j.compeleceng.2024.109721
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Abstract

While quantum key distribution (QKD) offers unparalleled security in communication, its real-world application is hindered by inherent physical constraints. The challenge lies predominantly in the cumbersome, energy-intensive nature of current QKD systems, which stems largely from the time-intensive post-processing stage. This paper investigates the feasibility of offloading the computationally intensive post-processing tasks, specifically focusing on information reconciliation (IR), to potentially untrusted servers.
We present a novel scheme that leverages syndrome decoding techniques to efficiently transfer the IR step of QKD protocols to a single external server. Notably, this offloading is accomplished while maintaining the highest level of security, known as unconditional security. The proposed technique is bolstered by a comprehensive theoretical analysis and validated through experimental trials. These findings demonstrate the effectiveness of our approach in bridging the gap between the theoretical promise of QKD and its real-world deployment.
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通过安全卸载信息调节加速 QKD 后处理
虽然量子密钥分发(QKD)为通信提供了无与伦比的安全性,但其在现实世界中的应用却受到固有物理限制的阻碍。挑战主要在于当前 QKD 系统的繁琐性和能源密集性,这主要源于时间密集型的后处理阶段。本文研究了将计算密集型后处理任务(特别是信息调节(IR))卸载到潜在的不可信任服务器上的可行性。我们提出了一种新方案,利用综合症解码技术将 QKD 协议的 IR 步骤高效地转移到单个外部服务器上。值得注意的是,这种卸载是在保持最高级别安全性(即无条件安全性)的前提下完成的。所提出的技术得到了全面理论分析的支持,并通过实验进行了验证。这些发现证明了我们的方法在缩小 QKD 理论前景与实际部署之间差距方面的有效性。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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