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System analysis and modeling in cybersecurity
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This collection of research articles represents a comprehensive study of key issues and innovative approaches in cybersecurity, with an emphasis on systems analysis and mathematical modeling.The articles examine the theoretical foundations and practical applications of formal methods, statistical analysis, and machine learning algorithms for: identifying and assessing risks, developing adaptive threat models, optimizing intrusion detection systems (IDS), analyzing the resilience.This collection will be useful to researchers, engineers, graduate students, and all specialists whose work involves designing, analyzing, and ensuring a high level of cyber resilience for modern technological systems.
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