A Model for Assessing the Level of Multi-Parameter Threats Using the Mamdani Fuzzy Logic Algorithm

Petrenko, O. Y.; Petrenko, O. S.; Ostrovskyi, Z. N.

Публікація:
A Model for Assessing the Level of Multi-Parameter Threats Using the Mamdani Fuzzy Logic Algorithm

dc.contributor.author	Petrenko, O. Y.
dc.contributor.author	Petrenko, O. S.
dc.contributor.author	Ostrovskyi, Z. N.
dc.date.accessioned	2025-10-31T22:49:12Z
dc.date.available	2025-10-31T22:49:12Z
dc.date.issued	2025
dc.description.abstract	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.
dc.identifier.citation	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.
dc.identifier.issn	2710-463X
dc.identifier.uri	https://openarchive.nure.ua/handle/document/33020
dc.language.iso	en_US
dc.subject	fuzzy logic
dc.subject	membership function
dc.subject	fuzzy inference
dc.subject	threat assessment
dc.subject	threat prioritization
dc.subject	decision support
dc.title	A Model for Assessing the Level of Multi-Parameter Threats Using the Mamdani Fuzzy Logic Algorithm
dc.type	Thesis
dspace.entity.type	Publication