A Model for Financing the Process of Education Informatization, Taking into Account Computer Security within the Framework of a Differential Quality Game

Chikrii A. Makulov K. Malyukov V. Akhmetov B. Lakhno V. Malyukova I. Yagaliyeva B.
2025 Engineering and Technology Publishing

Journal of Advances in Information Technology
2025 #16 Issue 12 1746 - 1757 pp.

This article proposes a game-theoretic model for financing education informatization, incorporating Cyber Security (CS) considerations within a university context. The model formalizes the financial interactions between stakeholders, addressing the critical interdependence between educational quality and cybersecurity. This interdependence necessitates optimized resource allocation to establish a secure and innovative educational environment. The core challenge investigated is the strategic balance between investments in digitalization and the costs of associated information security measures. The novelty of our approach lies in applying a differential quality game with a bilinear structure, where the participants’ financial states are governed by a system of differential equations. Classical methods for solving linear differential games are inapplicable here, as the bilinear structure prevents the use of the Cauchy formula to solve the system. Furthermore, the positional differential game approach is also unsuitable, as the model permits the use of non-measurable controls by an opponent. These mathematical challenges underscore the work’s significance, contributing not only as a tool for CS policy but also through its theoretical advancements. Within this framework, the model identifies player preference sets and optimal strategies, findings which are validated through a computational experiment. The visualization of the preference set for the first player—the Computer Security Center (CSC)—demonstrates the model’s practical utility in resolving financing dilemmas for education informatization amid cybersecurity constraints. The study’s impact lies in providing a robust analytical tool for developing optimal resource allocation strategies. This contributes significantly to the sustainable development of Higher Education (HE) systems navigating digital transformation and escalating cyber threats.

cybersecurity , game theory , higher education , informatization , optimal strategy , resources , scenarios

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Department of Optimization of Controlled Processes of the V. M. Glushkov, Institute of Cybernetics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
Department of Computer Science, Caspian University of Technology and Engineering Named after Sh. Yessenov, Aktau, Kazakhstan
Department of Computer Systems and Networks, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Rating Agency “Expert-Rating”, Lead Analyst, Kyiv, Ukraine
Global Education and Training, School at Illinois, University of Illinois at Urbana Champaign, Champaign, IL, United States
Department of Cybersecurity, Information Processing and Storage, Satbayev University, Almaty, Kazakhstan

Department of Optimization of Controlled Processes of the V. M. Glushkov
Department of Computer Science
Department of Computer Systems and Networks
Rating Agency “Expert-Rating”
Global Education and Training
Department of Cybersecurity

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