Кафедра підприємництва, торгівлі та логістики
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Item type:Наукова стаття, Development of a smart personnel security system using machine learning(CEUR Workshop Proceedings, 2025-09-25) Kryvovyazyuk, Igor; Bilychenko, Maksym; Kasianova, Nataliia; Smerichevskyi, Serhii; Lavrynenko, OleksandrInsider threats remain one of the most challenging aspects of organizational security, particularly in the era of digital transformation and widespread remote access to sensitive data. This study proposes a machine learning–based approach to personnel security that combines Isolation Forest and Local Outlier Factor algorithms with behavioral features enhanced through the use of large language models (LLMs). To improve detection accuracy, user web activity was classified using LLM-generated labels derived from website content analysis. Experimental results demonstrate strong model performance in identifying insider activity at the user level, with high detection accuracy and minimal false classifications. In addition, time-to-detection analysis revealed that most insider threats were identified before or shortly after the onset of malicious behavior. The findings suggest that the proposed system is not only effective in capturing behavioral anomalies but also feasible for real-time deployment in enterprise environments.Item type:Наукова стаття, Impact of Global Risks on Economic Downturn in Countries Worldwide: Analysis of the Causes of the Situation and Opportunities for Growth Recovery(Emerald Publishing Limited, 2025) Кривов’язюк, Ігор Володимирович; Britchenko, Igor; Ліпич, Любов Григорівна; Кравчук, Павло Ярославович; Галазюк, Наталія Миколаївна; Бурбан, Олександр ВікторовичThe purpose of the article is to study the opportunities for resuming the economic growth of economies, considering the impact of global risks on its dynamics. The article provides a comprehensive analysis of the economic growth dynamics of over 200 countries from 1961 to 2023, revealing a general trend of declining growth rates, which is confirmed by the data of observations of GDP dynamics in the USA, Great Britain, Germany, Albania, Ukraine, Mongolia, China, Paraguay, Indonesia, and Sudan. It is defined that these trends are caused by the negative impact of global risks on the dynamics of economic growth of world countries. A contemporary map of the interconnections of categories and types of global risks is presented, illustrating the intertwining of geopolitical, economic, social, environmental, and technological risks. A selection of the five most influential global risks that affected the economic downturn of the world economy from 2006 to 2023 has been formed through logical-structural analysis and generalization method, demonstrating the predominant influence of economic and environmental factors. The analysis of the unique causes of economic downturn under the influence of global risks, conducted using the Ishikawa diagram, allowed to include a set of economic, environmental, social, geopolitical, technological, and other causes. The proposed political-legal, market, organizational-economic, and financial-investment mechanisms for accelerating economic recovery define the priority directions for restoring economic growth, considering the impact of global risks. The provided suggestions have practical significance for the elaboration of economic development strategies for countries to restore economic growth.