Leveraging graph clustering techniques for cyber‐physical system analysis to enhance disturbance characterisation
[1];
- Cyber Resilience R&,D Sandia National Laboratories Albuquerque New Mexico USA
- Electrical and Computer Engineering Texas A&,M University College Station Texas USA
- J. Mike Walker ’66 Department of Mechanical Engineering Texas A&,M University College Station Texas USA
- Electric Power Research Sandia National Laboratories Albuquerque New Mexico USA
Abstract Cyber‐physical systems have behaviour that crosses domain boundaries during events such as planned operational changes and malicious disturbances. Traditionally, the cyber and physical systems are monitored separately and use very different toolsets and analysis paradigms. The security and privacy of these cyber‐physical systems requires improved understanding of the combined cyber‐physical system behaviour and methods for holistic analysis. Therefore, the authors propose leveraging clustering techniques on cyber‐physical data from smart grid systems to analyse differences and similarities in behaviour during cyber‐, physical‐, and cyber‐physical disturbances. Since clustering methods are commonly used in data science to examine statistical similarities in order to sort large datasets, these algorithms can assist in identifying useful relationships in cyber‐physical systems. Through this analysis, deeper insights can be shared with decision‐makers on what cyber and physical components are strongly or weakly linked, what cyber‐physical pathways are most traversed, and the criticality of certain cyber‐physical nodes or edges. This paper presents several types of clustering methods for cyber‐physical graphs of smart grid systems and their application in assessing different types of disturbances for informing cyber‐physical situational awareness. The collection of these clustering techniques provide a foundational basis for cyber‐physical graph interdependency analysis.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
- Grant/Contract Number:
- NA0003525
- OSTI ID:
- 2308887
- Alternate ID(s):
- OSTI ID: 2311260
- Report Number(s):
- SAND-2024-01979J; cps2.12087
- Journal Information:
- IET Cyber-Physical Systems: Theory & Applications, Journal Name: IET Cyber-Physical Systems: Theory & Applications; ISSN 2398-3396
- Publisher:
- Institution of Engineering and Technology (IET)Copyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
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