2023
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Перегляд 2023 за Ключові слова "004.05"
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Документ Відкритий доступ Cybersecurity in AI-Driven Casual Network Formation(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Lande, Dmytro; Feher, Anatolii; Strashnoy, LeonardThe paper describes a methodology for forming thematic causal networks using artificial intelligence and automating the processes of their visualization. The presented methodology is considered on the example of ChatGPT, as an artificial intelligence for analyzing the space of texts and building concepts of causal relationships, and their further visualization is demonstrated on the example of Gephi and CSV2Graph programs. The effectiveness of the disaggregated method in relation to traditional methods for solving such problems is shown by integrating the means of intelligent text analytics and graphical network analysis on the example of the problem of data leakage in information systems and a selection of news clippings on the selected cybersecurity topic.Документ Відкритий доступ OSINT Time Series Forecasting Methods Analysis(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Feher, A.; Lande, D.Time series forecasting is an important niche in the modern decision-making and tactics selection process, and in the context of OSINT technology, this approach can help predict events and allow for an effective response to them. For this purpose, LSTM, ARIMA, LPPL (JLS), N-gram were selected as time series forecasting methods, and their simple forms were implemented based on the time series of quantitative mentions of nato, himars, starlink and cyber threats statings obtained and generated using OSINT technology. Based on this, their overall effectiveness and the possibility of using them in combination with OSINT technology to form a forecast of the future were investigated.