Proposing of suggestive influence detection and classification method based on fuzzy logic and feature driven analysis

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dc.contributor.authorNakonechna, Yuliia
dc.date.accessioned2023-11-22T09:30:10Z
dc.date.available2023-11-22T09:30:10Z
dc.date.issued2023
dc.description.abstractThis research proposes an approach to the identification and classification of tools used in informational operations aimed at the implementation of suggestive influence, based on existing research on the feature-based informational influence identification. The proposed method combines the theory of fuzzy sets and the methods of fuzzy inference with the approach of analysis based on text features thanks to the author's proposed list of suggestive influence techniques, certain combinations of which are characteristic of various information influence tools. Using this approach, research focuses on identifying and classifying tools such as propaganda, fakes, disinformation, manipulation and artificial narrative. This structure result allows to improve the quality of analysis of similar research cases and to develop optimal countermeasures strategies that will take into account the features of each of the considered information warfare tools in further studies.uk
dc.format.pagerangePp. 44-51uk
dc.identifier.citationNakonechna, Yu. OSINT Proposing of suggestive influence detection and classification method based on fuzzy logic and feature driven analysis / Yuliia Nakonechna // Theoretical and Applied Cybersecurity : scientific journal. – 2023. – Vol. 5, Iss. 1. – Pp. 44–51. – Bibliogr. 16 ref.uk
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132023.1.283565
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/62359
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 5, No. 1uk
dc.subjectSuggestive influenceuk
dc.subjectwarfareuk
dc.subjectpropagandauk
dc.subjectdisinformationuk
dc.subjectmanipulationuk
dc.subjectfuzzy logicuk
dc.subjectMamdaniuk
dc.subject.udc004.942, 519.876.5uk
dc.titleProposing of suggestive influence detection and classification method based on fuzzy logic and feature driven analysisuk
dc.typeArticleuk

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 5, No. 1