Wavelet and fractal analysis based news spreading model

dc.contributor.authorSmetanyuk, B. L.
dc.contributor.authorMishyn, V. V.
dc.contributor.authorNakonechna, Y. V.
dc.date.accessioned2020-10-15T15:40:21Z
dc.date.available2020-10-15T15:40:21Z
dc.date.issued2020
dc.description.abstractenThe aggression of Russian Federation in Ukraine has exposed a strategic problem, derived from unwillingness to fully oppose in the information confrontation. Media could do even more damage to country’s defense capabilities than military action. Spreading fake news can be used to misrepresent, distort, and create a negative image of an informational event in society, as well as instill fear, panic, or downplay achievements. Little attention is paid to such information operations and approaches to their detection. The paper deals with detection of such information effects using Exploratory data analysis, fractal and wavelet analysis, as well as factor structure analysis using neural networks for being defensive, understanding of methods and techniques used to attack in Informational Space is necessary.uk
dc.format.pagerangePp. 74-83uk
dc.identifier.citationSmetanyuk, B. L. Wavelet and fractal analysis based news spreading model / B. L. Smetanyuk, V. V. Mishyn, Y. V. Nakonechna // Theoretical and Applied Cybersecurity : scientific journal. – 2020. – Vol. 2, Iss. 1. – Pp. 74–83. – Bibliogr.: 8 ref.uk
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132020.1.209481
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/36797
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.sourceTheoretical and Applied Cybersecurity : scientific journal, 2020, Vol. 2, No. 1uk
dc.subjectfake news detectionuk
dc.subjectfractal analysisuk
dc.subjectwaveletuk
dc.subjectEDAuk
dc.subjectMLuk
dc.subjectcybersecurityuk
dc.subject.udc004.942+519.7uk
dc.titleWavelet and fractal analysis based news spreading modeluk
dc.typeArticleuk

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