量子密钥分配网络-密钥管理:综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Emir Dervisevic, Amina Tankovic, Ehsan Fazel, Ramana Kompella, Peppino Fazio, Miroslav Voznak, Miralem Mehic
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引用次数: 0

摘要

安全通信使电信网络和服务的广泛使用成为可能。随着计算机和数学技术的不断进步,新的密码方法不断被开发出来。量子密钥分发(QKD)是一种很有前途的技术,它为远程双方之间的秘密密钥协议问题提供了一种信息理论上安全(ITS)的解决方案。建立基于可信中继节点的QKD网络是为了在任意距离上为更多的参与方提供服务。它们的功能是作为传统网络的附加技术,生成、管理、分发和提供ITS加密密钥。由于密钥资源有限,将QKD网络服务集成到关键基础设施中需要有效的密钥管理。因此,本文对可信中继QKD网络的密钥管理方法进行了全面综述。对它们进行分析,以促进潜在策略的识别,并加速QKD网络的未来发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum Key Distribution Networks - Key Management: A Survey
Secure communication makes the widespread use of telecommunication networks and services possible. With the constant progress of computing and mathematics, new cryptographic methods are being diligently developed. Quantum Key Distribution (QKD) is a promising technology that provides an Information-Theoretically Secure (ITS) solution to the secret-key agreement problem between two remote parties. QKD networks based on trusted relay nodes are built to provide service to a larger number of parties at arbitrary distances. They function as an add-on technology to traditional networks, generating, managing, distributing, and supplying ITS cryptographic keys. Since key resources are limited, integrating QKD network services into critical infrastructures necessitates effective key management. As a result, this paper provides a comprehensive review of key management approaches for trusted–relay QKD networks. They are analyzed to facilitate the identification of potential strategies and accelerate the future development of QKD networks.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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