The method of risk assessment for critical infrastructure in the conditions of hostilities, taking into account their destructive and cumulative potential
Abstract
Purpose: assessment of risks for critical infrastructure in the conditions of hostilities by introducing their destructive and cumulative potential.
Design/Method/Approach: the main research methods are graph theory, probability theory, simulation.
Findings: method of risk assessment for critical infrastructure in combat conditions, taking into account their destructive and cumulative potentialю
Theoretical implications: The main results of research on the subject of the article is the method of assessing the risks for critical infrastructure in the conditions of hostilities.
Paper type: descriptive and calculation-analytical.
Downloads
References
Ivanyuta S.P. Threats to critical infrastructure and their impact on the state of national security (monitoring the implementation of the National Security Strategy). Policy Note. Kyiv: NISS, 2017. 10 p.
Biryukov D.S., Zaslavsky V.A., Yevgienko V.V., Franchuk O.V. (2009). Modeling and evaluation of threat scenarios for critical infrastructure objects. Scientific Notes of NaUKMA. Vol. 99. Computer Science, pp. 97-101
Lisichenko, G.V., Zabulonov, Y.L., Khmil G.A. Natural, man-made and environmental risks: analysis, assessment, management: Monograph. Kyiv: Naukova Dumka, 2008. 542 p.
Governmentnikova, I.V., Chumachenko, S.M., Karmazin, S.V., Teslenko, O.M. (2015). Application of expert and analytical methods for assessing emergency risks at critical infrastructure facilities. Scientific Bulletin of the Academy of Municipal Administration. Series: Technique. Issue. 1, 2015. P. 206-2018
Chumachenko, S.M., Murasov, R.K., Melnyk Y.V. (2021). Theoretical and methodological foundations of information analysis of ecological and technogenic threats for potentially dangerous critical infrastructure objects in the conditions of armed conflict in the East of Ukraine. Modern information technologies in the field of security and defense. No 1 (40). p. 117-122.
Tailings storage facilities of Donbass. Report on the OSCE project. 2019. 50 p. Available from : https://www.osce.org/uk/projectcoordinator-in-ukraine/456847
Robin Wilson. Introduction to graph theory. 2019. 240 pp.
On approval of the Methodology for assessing losses from the consequences of anthropogenic and natural emergencies: Resolution of the Cabinet of Ministers of Ukraine of February 15, 2002 No. 175, Available from : https://zakon.rada.gov.ua/laws/show/175-2002-%D0%BF/print.
Kurtseitov, T., Murasov, R., & Melnyk, Y. (2022). Calculating the reliability of a critical infrastructure system by decomposing it as a complex system. Journal of Scientific Papers “Social Development and Security”, 12(5), 84-92. https://doi.org/10.33445/sds.2022.12.5.8
Murasov R.K., Kurtseitov T.L., Melnyk Y.V. (2022). Probabilistic method of forecasting emergency events at potentially dangerous critical infrastructure facilities. Modern information technologies in the field of security and defense, No 2(44), P.60-64-122.
Abstract views: 139 PDF Downloads: 208
Copyright (c) 2023 Rustam Murasov
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors agree with the following conditions:
1. Authors retain copyright and grant the journal right of first publication (Download agreement) with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2. Authors have the right to complete individual additional agreements for the non-exclusive spreading of the journal’s published version of the work (for example, to post work in the electronic repository of the institution or to publish it as part of a monograph), with the reference to the first publication of the work in this journal.
3. Journal’s politics allows and encourages the placement on the Internet (for example, in the repositories of institutions, personal websites, SSRN, ResearchGate, MPRA, SSOAR, etc.) manuscript of the work by the authors, before and during the process of viewing it by this journal, because it can lead to a productive research discussion and positively affect the efficiency and dynamics of citing the published work (see The Effect of Open Access).
