A Systematic Review of Digital Twins and Security for Cyber-Physical Systems

IF 30.4 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Arda Goknil, Ivan Kurtev, Leonard Tudorache, Adela Nedisan Videsjorden, Rustem Dautov, Hui Song, Dumitru Roman, Mihai Gheorghe, Ahmet Soylu
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引用次数: 0

Abstract

The rapid growth of Cyber-Physical Systems (CPS) has increased interest in digital twins (DTs) as virtual representations of physical systems to improve efficiency, monitoring, and security. However, as DTs become integral components of CPS, ensuring their own security also becomes critical. In this paper, we present a systematic literature review (SLR) on DTs and security for CPS. Following a standard SLR methodology, we defined three research questions, performed a structured search in four publication databases complemented by forward snowballing, applied inclusion and exclusion criteria, and extracted and synthesized data from the selected studies. The review examines both how DTs are used to enhance CPS security and how DTs themselves are secured within CPS. Our main results are: (i) a classification of CPS security challenges, threats, and vulnerabilities addressed using DTs; (ii) a mapping of security mechanisms, application domains, and emerging trends in using DTs for CPS security; (iii) a classification of DT security challenges, threats, and vulnerabilities across architectural, operational, data, and trust dimensions; (iv) a synthesis of state-of-the-art approaches for securing DTs; and (v) an analysis of open research problems and future directions for advancing both CPS security through DTs and the security of DTs themselves.
数字孪生与网络物理系统安全的系统回顾
网络物理系统(CPS)的快速发展增加了人们对数字孪生(dt)的兴趣,数字孪生是物理系统的虚拟表示,可以提高效率、监控和安全性。然而,随着dt成为CPS不可或缺的组成部分,确保它们自身的安全性也变得至关重要。在本文中,我们提出了系统的文献综述(SLR)的DTs和安全的CPS。按照标准的单反方法,我们定义了三个研究问题,在四个出版物数据库中进行了结构化搜索,并辅以正向滚雪球法,应用纳入和排除标准,并从选定的研究中提取和综合数据。该审查审查了如何使用dt来增强CPS安全性以及如何在CPS中保护dt本身。我们的主要结果是:(i)使用DTs解决的CPS安全挑战、威胁和漏洞的分类;(ii)安全机制、应用领域,以及使用DTs保障CPS安全的新趋势的映射;(iii)对跨架构、操作、数据和信任维度的DT安全挑战、威胁和漏洞进行分类;(iv)综合最先进的方法,以确保转让;(v)分析开放的研究问题和未来的发展方向,以提高CPS通过dt的安全性和dt本身的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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