Прийняття рішень на основі лінійної оптимізації у процесі управління ризиками інформаційної безпеки

Information security is a critical field in which many different factors and constraints must be taken into account to ensure that data and infrastructure are protected. One of the main challenges in this area is the optimal allocation of limited resources between different security measures, which requires the use of mathematical methods to find optimal solutions. This article discusses the use of linear programming methods to solve problems related to optimizing the costs of information security risk reduction measures. The article reviews scientific sources on the applied aspect of linear programming for risk assessment and information security risk management. The article shows the process of building a model based on a linear programming problem, starting with the formalization of the problem, selection of the objective function and constraints, and ending with obtaining an optimal solution with its analysis and interpretation. The model in the form of a linear programming problem allows optimizing the total costs of information security, taking into account the chosen direction of optimization and given the given constraints on resources—budget, time, technical and other. The article presents the use of linear optimization based on the SWOT analysis of information security risks, which allows organizations to systemize and specify the risk management process, directing limited resources to the most critical areas and ensuring optimal protection of data and information systems. The obtained results show that the use of linear programming methods allows to achieve a significant optimization of information security costs, providing a high level of protection. Among the promising directions for further research are multi-criteria optimization and dynamic planning with consideration of time changes in risks and costs. This study can be used as an illustrative example of intersubject connections of the disciplines of the specialty 125 Cybersecurity and information protection in the educational activities of students of this specialty.

Publication Details

Journal
Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University)
Published
2024-09-01
Primary Topic
Cybersecurity and Information Systems
Type
article
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article

Прийняття рішень на основі лінійної оптимізації у процесі управління ризиками інформаційної безпеки

Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University)
Cybersecurity and Information Systems
article

Прийняття рішень на основі лінійної оптимізації у процесі управління ризиками інформаційної безпеки

article en

Abstract

Information security is a critical field in which many different factors and constraints must be taken into account to ensure that data and infrastructure are protected. One of the main challenges in this area is the optimal allocation of limited resources between different security measures, which requires the use of mathematical methods to find optimal solutions. This article discusses the use of linear programming methods to solve problems related to optimizing the costs of information security risk reduction measures. The article reviews scientific sources on the applied aspect of linear programming for risk assessment and information security risk management. The article shows the process of building a model based on a linear programming problem, starting with the formalization of the problem, selection of the objective function and constraints, and ending with obtaining an optimal solution with its analysis and interpretation. The model in the form of a linear programming problem allows optimizing the total costs of information security, taking into account the chosen direction of optimization and given the given constraints on resources—budget, time, technical and other. The article presents the use of linear optimization based on the SWOT analysis of information security risks, which allows organizations to systemize and specify the risk management process, directing limited resources to the most critical areas and ensuring optimal protection of data and information systems. The obtained results show that the use of linear programming methods allows to achieve a significant optimization of information security costs, providing a high level of protection. Among the promising directions for further research are multi-criteria optimization and dynamic planning with consideration of time changes in risks and costs. This study can be used as an illustrative example of intersubject connections of the disciplines of the specialty 125 Cybersecurity and information protection in the educational activities of students of this specialty.

Borys Grinchenko Kyiv University Institutional repository (Borys Grinchenko Kyiv University)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Cybersecurity and Information Systems
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