欺骗攻击下量子安全单像素成像的真实图像构建

IF 5.4 1区 物理与天体物理 Q1 OPTICS APL Photonics Pub Date : 2024-07-18 DOI:10.1063/5.0209041
Jaesung Heo, Taek Jeong, Nam Hun Park, Yonggi Jo
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引用次数: 0

摘要

在本文中,我们介绍了一种量子安全单像素成像技术,旨在抵御欺骗攻击,即对手试图用假信号欺骗成像系统。以往的量子安全协议即使存在真实信号,也会受到阈值错误率的限制,而我们的方法与之不同,不仅能识别欺骗攻击,还能促进真实图像的重建。我们的方法包括分析光子对的特定模式相关性来检查安全性,这种相关性与构建图像时使用的模式无关。通过这种分析,我们可以确定攻击的目标图像区域和欺骗攻击的类型,从而重建真实图像。我们利用光子对的偏振相关性进行了原理验证,展示了即使在欺骗信号比真实信号强 2000 倍的情况下也能成功重建图像。我们希望我们的方法能应用于量子安全信号处理,如量子目标检测或测距。
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True image construction in quantum-secured single-pixel imaging under spoofing attack
In this paper, we introduce a quantum-secured single-pixel imaging technique designed to withstand spoofing attacks, wherein adversaries attempt to deceive imaging systems with fake signals. Unlike previous quantum-secured protocols that impose a threshold error rate limiting their operation, even with the existence of true signals, our approach not only identifies spoofing attacks but also facilitates the reconstruction of a true image. Our method involves the analysis of a specific mode correlation of a photon-pair, which is independent of the mode used for image construction, to check security. Through this analysis, we can identify both the targeted image region of the attack and the type of spoofing attack, enabling reconstruction of the true image. A proof-of-principle demonstration employing the polarization-correlation of a photon-pair is provided, showcasing successful image reconstruction even under the condition of spoofing signals that are 2000 times stronger than true signals. We expect our approach to be applied to quantum-secured signal processing, such as quantum target detection or ranging.
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来源期刊
APL Photonics
APL Photonics Physics and Astronomy-Atomic and Molecular Physics, and Optics
CiteScore
10.30
自引率
3.60%
发文量
107
审稿时长
19 weeks
期刊介绍: APL Photonics is the new dedicated home for open access multidisciplinary research from and for the photonics community. The journal publishes fundamental and applied results that significantly advance the knowledge in photonics across physics, chemistry, biology and materials science.
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