一种灵活的物联网零信任安全连续波量子加密方案

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yong Shen, Xiaokang Tang, X. Zhang, Yong-zhuang Zhou, H. Zou
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引用次数: 3

摘要

随着量子计算技术的快速发展,通常基于公钥加密算法的经典通信的安全性受到了极大的威胁。因此,需要一种具有物理基础的关键建立方法,尤其是对于能量和计算能力非常有限的物联网设备。在本文中,我们提出了一种用于物联网系统的灵活连续波量子密码方案。在这种配置中,物联网控制器包含一个窄线宽激光器作为真正的本地振荡器。因此,它能够在与远程服务器的量子密钥分发中作为主机或客户端工作,并有效地为量子密钥分发生成量子随机数,以及与部署的传感器进行一次性通信。在渐近状态下,在集体攻击的假设下,分析了该方案的安全性,并用典型的信道和商用设备参数从理论上验证了该算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A flexible continuous-wave quantum cryptography scheme with zero-trust security for Internet of Things
As quantum computing techniques develop rapidly, the security of classical communication, which is usually based on public key encryption algorithm, is under great threat. Therefore, a key establishment method with physics base is demanding, especially for Internet of Things devices, where energy and computational power is quite limited. In this article, we present a flexible continuous-wave quantum cryptography scheme for Internet of Things systems. In this configuration, the IoT controller contains a narrow linewidth laser as a real local oscillator. Thus, it is capable of working as either a host or a client in quantum key distribution with remote servers, and efficiently generating quantum random numbers for quantum key distribution, as well as one time pad communication with deployed sensors. The security of the scheme is analyzed under the assumption of collective attacks in the asymptotic regime, and feasibility is theoretically verified with typical channel and commercial device parameters.
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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