2024

Постійне посилання на фонд

https://ela.kpi.ua/handle/123456789/73199

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Перегляд 2024 за Ключові слова "004"

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  • Ескіз
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    An example of fuzzy ontology usage for risk assessment and attack impact
    (Igor Sikorsky Kyiv Polytechnic Institute, 2024) Kozlenko, Oleh
    The article discusses the use of fuzzy ontology for assessing risks and impacts of attacks in the field of information security. Fuzzy ontology, which is a formalized way of representing knowledge, offers effective solutions for processing complex and informal processes. The article substantiates the significance of fuzzy logic in structural analysis and presents an example of how new types of attacks influence the ontology. Key findings include the identification of risks associated with attacks through the application of fuzzy sets and entropy theory. The discussion highlights how these methods can enhance threat response and risk management in information systems.
  • Ескіз
    ДокументВідкритий доступ
    Comparison analysis between strict ontologies and fuzzy ontologies
    (Igor Sikorsky Kyiv Polytechnic Institute, 2024) Kozlenko, Oleh
    Ontological modeling has been important in the field of cybersecurity, but with the growing use of artificial intelligence in various processes related to cybersecurity, it has become an increasingly relevant area for research every new year. Ontologies can serve as a primary source of knowledge for artificial intelligence models and as a "sequence of actions" in different processes. Typically, strictontologies were used due to their formalized structure, but they did not fully capture processes that involve fuzzy contexts of actions or results. The aim of this article is to present and analyze different ontologies, both strict and fuzzy, that are used or could be used in the field of cybersecurity and related processes, demonstrating their similarities, differences, and areas of application.