The Method of Cyber Awareness Analysis of an Energy Facility
https://doi.org/10.25205/1818-7900-2021-19-2-17-28
Abstract
The article proposes to analyze cyber-situational awareness of an energy facility in three stages. There are i) analysis of cyber threats to the energy infrastructure; ii) modeling of extreme situations scenarios in the energy sector caused by the implementation of the cyber threats; iii) risk assessment of the cybersecurity disruption to energy infrastructure. Three methods are presented, corresponding to each stage. The authors propose to apply semantic modeling methods to analyze the impact of cyber threats to energy facilities, taking into account energy security within the presented approach. Such methods show their effectiveness in the absence or incompleteness of data for modeling the behavior of systems, which defies formal description or accurate forecasting. The presented approach to the cyber situational awareness analysis of energy facilities considered as a synthesis of cybersecurity and situational awareness studies, characterized by the use of semantic modeling methods.
Keywords
cyber situational awareness,
extreme situations in the energy sector,
semantic modeling methods,
cyber threats
Supporting agencies: This work was executed within the framework of project on state task MESI SB RAS FWEU-2021-0007 no. АААА-А21-121012090007-7. The studying of separated aspects was supported by RFBR grants no. 19-07-00351, no. 20-010-00204, no. 19-57-04003
About the Authors
D. A. Gaskova
Melentiev Energy Systems Institute SB RAS
Russian Federation
Russian Federation
Daria A. Gaskova - Junior Fellow of Department of Artificial Intelligence Systems in the Energy Sector, Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences.
Irkutsk.
A. G. Massel
Melentiev Energy Systems Institute SB RAS
Russian Federation
Russian Federation
Aleksei G. Massel - PhD in Engineering Science, Senior researcher of Department of Artificial Intelligence Systems in the Energy Sector, Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences.
Irkutsk.
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Review
For citations:
Gaskova D.A., Massel A.G. The Method of Cyber Awareness Analysis of an Energy Facility. Vestnik NSU. Series: Information Technologies. 2021;19(2):17-28. (In Russ.) https://doi.org/10.25205/1818-7900-2021-19-2-17-28
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