在工业控制系统中赢得与网络风险识别工具的战斗:综述

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ayo Rotibi, Neetesh Saxena, Pete Burnap
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引用次数: 0

摘要

现代工业控制系统(ICS)环境现在结合了信息技术(IT)、操作技术和物理过程。这种数字化转型提高了操作效率、服务质量和物理系统功能,使系统能够测量和控制物理世界。然而,它也使ICS面临新的和不断发展的网络安全威胁,这些威胁曾经局限于it领域。因此,识别ICS中的网络风险变得更加重要,从而导致开发新的方法和工具来应对这些新出现的威胁。本研究回顾了ICS中网络风险识别的一些最新工具。它根据具体属性对每个工具进行了实证分析:重点、应用领域、核心风险管理概念,以及它们如何解决ICS中当前的网络安全问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Winning the battle with cyber risk identification tools in industrial control systems: A review

Winning the battle with cyber risk identification tools in industrial control systems: A review

The modern Industrial Control System (ICS) environment now combines information technology (IT), operational technology, and physical processes. This digital transformation enhances operational efficiency, service quality, and physical system capabilities enabling systems to measure and control the physical world. However, it also exposes ICS to new and evolving cybersecurity threats that were once confined to the IT domain. As a result, identifying cyber risks in ICS has become more critical, leading to the development of new methods and tools to tackle these emerging threats. This study reviews some of the latest tools for cyber-risk identification in ICS. It empirically analyses each tool based on specific attributes: focus, application domain, core risk management concepts, and how they address current cybersecurity concerns in ICS.

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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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