OntoCPS4PMS: Ontology modeling for collaborative cyber‐physical threat defense in power monitoring system

Abstract Given the deep interconnection between information and physical aspects of power systems, escalating cyber‐attacks pose significant threats to both grid information systems and electrical equipment. The context highlights the importance of risk perception and defense mechanisms in information and functional security for Power Monitoring System (PMS). To address this, we introduce an innovative ontology framework designed for comprehensive cyber‐physical security in PMS (OntoCPS4PMS). OntoCPS4PMS identifies risks from cross‐domain attacks and supports a collaborative defense strategy. It offers a multifaceted assessment method for PMS security events, considering vulnerabilities, cyber‐attack impacts, and physical domain risks. Through simulated PMS attack scenarios, we validate the framework's effectiveness in dynamic cyber‐physical security analysis. The results demonstrate OntoCPS4PMS's ability to trace attacks, locate affected equipment, and recommend mitigation measures, confirming its utility in enhancing PMS security and decision‐making.

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Publication Details

Journal
Systems Engineering
Published
2024-08-13
DOI
https://doi.org/10.1002/sys.21777
Citations
4
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
3.12

Funders

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article

OntoCPS4PMS: Ontology modeling for collaborative cyber‐physical threat defense in power monitoring system

Jing Teng, Quan Z. Sheng, Tian Wang, Ruge Yang et al.
4 citations
Systems Engineering
Information and Cyber Security
3.12
article

OntoCPS4PMS: Ontology modeling for collaborative cyber‐physical threat defense in power monitoring system

Jing Teng, Quan Z. Sheng, Tian Wang, Ruge Yang, Junzhe Du
article en
4 citations

Abstract

Abstract Given the deep interconnection between information and physical aspects of power systems, escalating cyber‐attacks pose significant threats to both grid information systems and electrical equipment. The context highlights the importance of risk perception and defense mechanisms in information and functional security for Power Monitoring System (PMS). To address this, we introduce an innovative ontology framework designed for comprehensive cyber‐physical security in PMS (OntoCPS4PMS). OntoCPS4PMS identifies risks from cross‐domain attacks and supports a collaborative defense strategy. It offers a multifaceted assessment method for PMS security events, considering vulnerabilities, cyber‐attack impacts, and physical domain risks. Through simulated PMS attack scenarios, we validate the framework's effectiveness in dynamic cyber‐physical security analysis. The results demonstrate OntoCPS4PMS's ability to trace attacks, locate affected equipment, and recommend mitigation measures, confirming its utility in enhancing PMS security and decision‐making.

Systems EngineeringVol. 28(1)
North China Electric Power University (CN), Beihang University (CN), Macquarie University (AU)
National Natural Science Foundation of China, Beijing Nova Program
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Information and Cyber Security
3.12
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