CyPhERS:一种网络物理事件推理系统,为攻击和故障响应提供实时态势感知

IF 8.2 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Nils Müller , Kaibin Bao , Jörg Matthes , Kai Heussen
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引用次数: 0

摘要

网络物理系统(CPSs)构成了电网或配水网络等关键基础设施的骨干。这些系统的运行故障可能会给社会带来严重风险。为了避免或最大限度地减少停机时间,运营商需要实时了解重大事件。然而,CPSs中的在线事件识别受到众多物理和数字组件复杂相互依赖性的挑战,需要同等考虑网络攻击和物理故障。由于缺乏对关键但罕见事件的历史观察,以及网络攻击策略的不断演变,在线事件识别问题变得更加复杂。本文介绍并演示了CyPhERS,一个网络物理事件推理系统。CyPhERS提供有关CPSs中潜在关键事件的发生、位置、物理影响和根本原因的实时信息,而无需历史事件观察。CyPhERS的关键新颖性在于能够生成已知和未知类型的网络攻击和物理故障的信息性和可解释的事件签名。该概念在一个演示案例中进行了评估和基准测试,该案例包括针对CPS各个组件的大量攻击和故障事件。结果表明,事件签名提供了关于已知和未知事件类型的相关和可推断信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CyPhERS: A cyber-physical event reasoning system providing real-time situational awareness for attack and fault response

Cyber–physical systems (CPSs) constitute the backbone of critical infrastructures such as power grids or water distribution networks. Operating failures in these systems can cause serious risks for society. To avoid or minimize downtime, operators require real-time awareness about critical incidents. However, online event identification in CPSs is challenged by the complex interdependency of numerous physical and digital components, requiring to take cyber attacks and physical failures equally into account. The online event identification problem is further complicated through the lack of historical observations of critical but rare events, and the continuous evolution of cyber attack strategies. This work introduces and demonstrates CyPhERS, a Cyber-Physical Event Reasoning System. CyPhERS provides real-time information pertaining the occurrence, location, physical impact, and root cause of potentially critical events in CPSs, without the need for historical event observations. Key novelty of CyPhERS is the capability to generate informative and interpretable event signatures of known and unknown types of both cyber attacks and physical failures. The concept is evaluated and benchmarked on a demonstration case that comprises a multitude of attack and fault events targeting various components of a CPS. The results demonstrate that the event signatures provide relevant and inferable information on both known and unknown event types.

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来源期刊
Computers in Industry
Computers in Industry 工程技术-计算机:跨学科应用
CiteScore
18.90
自引率
8.00%
发文量
152
审稿时长
22 days
期刊介绍: The objective of Computers in Industry is to present original, high-quality, application-oriented research papers that: • Illuminate emerging trends and possibilities in the utilization of Information and Communication Technology in industry; • Establish connections or integrations across various technology domains within the expansive realm of computer applications for industry; • Foster connections or integrations across diverse application areas of ICT in industry.
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