A neuro-game model for analyzing strategies in the dynamic interaction of participants of phishing attacks
Lakhno V. Malyukov V. Malyukova I. Akhmetov B. Alimseitova Z. Ogan A.
June 2024Universitas Ahmad Dahlan
Telkomnika (Telecommunication Computing Electronics and Control)
2024#22Issue 3645 - 656 pp.
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.
Artificial neural network , Cryptocurrency , Game model , Information security , Phishing
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Department of Computer Systems, Networks, and Cybersecurity, Faculty of Information Technology, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Rating agency Expert-rating, Kyiv, Ukraine
Department of Informatics and Informatization of Education, Physics and Computer Science, Institute of Mathematics, Kazakh National Pedagogical University named after Abai, Almaty, Kazakhstan
Department of Cybersecurity, Information Processing, and Storage, Institute of Automation and Information Technology, Satbayev University, Almaty, Kazakhstan
Department of Information Systems, Faculty of Engineering and Information Technology, Almaty Technological University, Almaty, Kazakhstan
Department of Computer Systems
Rating agency Expert-rating
Department of Informatics and Informatization of Education
Department of Cybersecurity
Department of Information Systems
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