Increasing the Speed of Banking Cybersecurity Systems Based on Intelligent Data Analysis and Artificial Intelligence Algorithms for Predicting Cyberattacks. I
Khilenko V. Akhmetov B. Berdibayev R. Lakhno V. Harchenko Y. Hwang W.-L. Khylenko V., Jr.
July 2023Springer
Cybernetics and Systems Analysis
2023#59Issue 4519 - 525 pp.
The increase in the speed and quality of the cybersecurity systems of banking institutions in the post-quantum era is considered. A mathematical apparatus for cyberattack prediction systems and an algorithm for choosing the moment for switching on the enhanced security mode are proposed. The possibility or organizing cyberattacks using neural networks and AI algorithms is taken into account. An example of the formation and analysis of a cluster of suspicious transactions using the Julia language is considered.
clustering , cybersecurity of banking institutions , system of prediction and prevention of cyber attacks , threats of the post-quantum era
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National University of Life and Environmental Science of Ukraine, Kyiv, Ukraine
Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
Almaty University of Power Engineering and Telecommunications, Almaty, Kazakhstan
Institute of Information Science, Academia Sinica, Taipei, Taiwan
Slovak University of Technology in Bratislava, Bratislava, Slovakia
National University of Life and Environmental Science of Ukraine
Abai Kazakh National Pedagogical University
Almaty University of Power Engineering and Telecommunications
Institute of Information Science
Slovak University of Technology in Bratislava
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