工业物联网系统轻量级加密机制综述

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Saad Khan, Pedro Afonso Ferreira Lopes Martins, Bruno Sousa, Vasco Pereira
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引用次数: 0

摘要

工业控制系统(ICS)中工业物联网(IIoT)设备的集成带来了重大的网络安全挑战,主要是由于这些设备的资源有限。传统的加密算法通常不适合工业物联网环境,因为它们对计算、内存和能量的要求很高。轻量级加密算法已经成为高效和安全的替代方案,专门为资源受限的环境设计。本文系统地回顾了轻量级对称密码机制,特别是块和流密码,并从工业物联网的角度评估了它们的关键属性。此外,讨论了这些算法对已知密码分析攻击的安全优势和漏洞,包括微分、线性、相关密钥等。本文还讨论了国家标准与技术研究院(NIST)、国际标准化组织(ISO)/国际电工委员会(IEC)等组织目前的标准化工作,强调了它们在ICS环境中的适用性。最后,它确定了改进ICS中轻量级加密安全性的开放研究问题和未来方向,为寻求强大安全的工业物联网部署的安全从业者和研究人员提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Review on Lightweight Cryptographic Mechanisms for Industrial Internet of Things Systems
The integration of Industrial Internet of Things (IIoT) devices within Industrial Control Systems (ICS) presents significant cybersecurity challenges, primarily due to the limited resources of these devices. Traditional cryptographic algorithms are often unsuitable for IIoT environments due to their high computational, memory, and energy requirements. Lightweight Cryptographic Algorithms have emerged as efficient and secure alternatives, specifically designed for resource-constrained environments. This paper systematically reviews lightweight symmetric cryptographic mechanisms, specifically Block and Stream ciphers, and evaluates their critical attributes from an IIoT perspective. In addition, the security strengths and vulnerabilities of these algorithms against known cryptanalytic attacks, including Differential, Linear, Related Key, and others, are discussed. The paper also discusses current standardization efforts by organizations such as the National Institute of Standards and Technology (NIST), International Organization for Standardisation (ISO)/International Electro-technical Commission (IEC), highlighting their applicability in ICS environments. Finally, it identifies open research issues and future directions for improving lightweight cryptographic security in ICS, providing valuable insights for security practitioners and researchers seeking to robustly secure IIoT deployments.
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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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