METHOD FOR DECISION SUPPORT AND DEPENDABILITY ASSURANCE OF INFORMATION SYSTEMS OF SITUATIONAL CENTERS
DOI:
https://doi.org/10.28925/2663-4023.2026.34.1272Keywords:
dependability, information systems, situational centers, decision support, intelligent technologies, multicriteria evaluation, risk management, knowledge base, adaptive decision-making, cybersecurityAbstract
The paper addresses the problem of decision support for ensuring the dependability of information systems of situational centers under conditions of increasing complexity of information and communication infrastructures, a growing number of destabilizing influences, and rising requirements for the continuity of critical service operation. The relevance of the study is determined by the need to improve the validity of decisions made during the management of situational center information systems, as well as the necessity to consider a large number of interrelated operational parameters, risks, and potential consequences of threat realization. The aim of the study is to develop a method for decision support and dependability assurance of situational center information systems based on comprehensive system state analysis, risk assessment, and multicriteria selection of alternatives. The decision-support process for ensuring the dependability of situational center information systems is formalized, and a mathematical model is developed that takes into account the current system state, risk level, available resources, and possible consequences of destabilizing influences. A method is proposed that enables the generation of a set of feasible alternatives, their multicriteria evaluation, and the selection of the most appropriate decision considering its impact on dependability indicators. An architecture of an intelligent decision support system is developed, providing knowledge accumulation, adaptation to changing operating conditions, and improvement of decision quality. Unlike existing approaches, the proposed method integrates information system state assessment, risk analysis, alternative generation, and decision support within a unified dependability assurance process. Simulation results confirmed improved decision validity, reduced time required for alternative selection, and enhanced dependability indicators of the information system. The practical significance of the study lies in the possibility of applying the proposed method in situational center information systems to improve management efficiency, operational resilience, and continuity of information service provision.
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