Annotation

Issue 1 (2025)
ABOUT PROBABILISTIC MODELS, SOFTWARE, TECHNOLOGICAL AND METHODOLOGICAL SOLUTIONS FOR RATIONAL RISK MANAGEMENT IN SYSTEM ENGINEERING
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Annotation: In relation to computing systems (CS) and computer networks (CN), some research results devoted to solving the scientific problem of developing widely applicable probabilistic models, software, technological and methodological solutions focused on predicting and rational risk control in system engineering are reviewed. The paper covers the following issues: analysis of existing approaches to risk assessment and control, improvement and standardization of probabilistic models for predicting and rational risk control in the lifecycle of various systems, development of software and technological solutions that ensure risk prediction and justification of proactive measures to counter threats in the autonomous and remote mode of application of CS and CS, for these solutions - development of typical methods for the use of advanced probabilistic models in CS and CS, and, finally, the development of recommendations and demonstration examples for reducing and maintaining risks within acceptable limits based on the use of the created infrastructure and technology to support risk-oriented system engineering. Some illustrative examples are given.
Page numbers: 23-49.
For citation: Nistratov A.A. About probabilistic models, software, technological and methodological solutions for rational risk management in system engineering // Electronic Scientific Journal IT-Standard. – 2025. – No. 1. – pp. 23-49.