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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics
Valery Lakhno
National University of Life and Environmental Sciences of Ukraine
Computer Science & IT Electrical & Electronics Engineering

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Differential quality game with fuzzy information for assessing financial resources for air quality monitoring in cities Arkadii Chikrii; Volodimir Malyukov; Valery Lakhno; Inna Malyukova; Adlet Kassymbekov; Raissa Uskenbayeva; Gabit Shuitenov; Bauyrzhan Tynymbayev
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.10545

Abstract

Rapid urbanization intensifies pressure on city air quality, making costeffective monitoring a governance priority. Existing sensor-placement approaches optimize coverage but often ignore strategic behavior of polluters and budget uncertainty, leading to fragile deployments. We propose a decision model that allocates monitoring funds via a bilinear differential game with fuzzy information between an environmental defender and a polluter. Unlike linear differential games solvable via the Cauchy formula, bilinear dynamics and non-measurable adversary strategies require a novel discreteapproximation method within a positional game scheme. The model captures dynamic financial interactions through membership functions and yields analytical characterizations of the defender's preference set and optimal pure strategies. Computational experiments on realistic scenarios illustrate stable funding regimes and support actionable guidance for urban planners: how much to invest, when, and where to expand monitoring stations to achieve resilient oversight under uncertainty. The framework can be embedded in intelligent decision-support tools for smart-city environmental management.
The game model of investing in the academic cloud Bakhytzhan Akhmetov; Valery Lakhno; Nurzhamal Oshanova; Volodimir Malyukov; Zhuldyz Alimseitova; Aliza Turgnbayeva; Inna Malyukova; Miroslav Lakhno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 6: December 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i6.26121

Abstract

The article analyzes approaches to the use of cloud technologies in the process of teaching students at large universities. The model of the academic cloud of a modern university is considered. Examples of software and functional platforms that meet the needs of students in electronic learning resources are given. The deployment models of the cloud-oriented educational environment that includes private cloud infrastructure as a service (IaaS) and platform as a university service are analyzed. The cost of deploying an academic cloud based on the educational institution’s infrastructure and renting infrastructure from a vendor is compared. A multifactorial model for evaluating investment options in the university cloud in the context of fuzzy information is proposed. In contrast to the known approaches to solving such a problem, our model assumes that the dynamics of the financial states of the players are set through a system of discrete equations. These equations describe the dynamics of multidimensional variables. The latter made it possible to consider the general problem of investing in the academic cloud within the framework of a game scheme for tasks in a fuzzy formulation, with the financial resources available to the educational institution. Preference sets and optimal financial allocation strategies for building an academic cloud are found.
A neuro-game model for analyzing strategies in the dynamic interaction of participants of phishing attacks Valery Lakhno; Volodimir Malyukov; Inna Malyukova; Bakhytzhan Akhmetov; Zhuldyz Alimseitova; Atkeldi Ogan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 3: June 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i3.25938

Abstract

A dynamic model of countering phishing attacks is considered. Cryptocurrency exchanges (CCE) and/or their clients are considered as an example of a phishing victim. The model, unlike similar ones, is based on the assumption that the dynamics of the states of the player-victim of phishing attacks and the player-intruder (fisher) is set by means of a system of differential equations. The peculiarity of this model is that it represents a bilinear differential game of quality, for which methods for solving linear differential games are not applicable and, in addition, the absence of functional restrictions on the strategies of players (even immeasurable functions are allowed) does not allow the use of traditional approach. And their solution makes it possible to form payoff matrices, which are part of the training set for artificial neural networks (ANNs). Such a collaboration of models will make it possible to accurately build an anti-phishing strategy, minimizing the costs of both a potential victim of phishing attacks and the defense side when building a secure system of communication with CCE clients. The neuro-game approach makes it possible to predict the process of countering phishing in the context of costs for both parties using different strategies.
Co-Authors Adlet Kassymbekov Aliza Turgnbayeva Arkadii Chikrii Atkeldi Ogan Bakhytzhan Akhmetov Bakhytzhan Akhmetov Bauyrzhan Tynymbayev Gabit Shuitenov Inna Malyukova Inna Malyukova Inna Malyukova Miroslav Lakhno Nurzhamal Oshanova Raissa Uskenbayeva Volodimir Malyukov Volodimir Malyukov Zhuldyz Alimseitova