Публікація: A Model for Assessing the Level of Multi-Parameter Threats Using the Mamdani Fuzzy Logic Algorithm
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Дата
2025
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Анотація
This paper introduces a model for assessing threats and prioritizing them on a scale from 0 to 1 by utilizing fuzzy logic methods, which ensure high accuracy of results. The model is developed using the first type Mamdani algorithm. The proposed threat assessment model has been tested in both static and dynamic real-time attack scenarios. The implementation relies on fuzzy logic methods, with system modeling carried out using the MATLAB Fuzzy Logic Toolbox. This toolbox provides tools for designing systems based on fuzzy logic principles. The introduced threat prioritization procedure, constructed on the fuzzy set model, significantly enhances functionality by enabling accurate determination of threat levels. This procedure forms a solid foundation for making well-informed decisions regarding measures to counter these threats.
Опис
Ключові слова
fuzzy logic, membership function, fuzzy inference, threat assessment, threat prioritization, decision support
Бібліографічний опис
Petrenko O. Y. A Model for Assessing the Level of Multi-Parameter Threats Using the Mamdani Fuzzy Logic Algorithm / O. Y. Petrenko, O. S. Petrenko, Z. N. Ostovskyi // Computer and information systems and technologies : Eighth International Scientific and Technical Conference, October 09-10, 2025. – Kharkiv : NURE, 2025. - P. 107-109.