Malicious Information Source Detection in Social Networks

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dc.contributor.authorMelnyk, V. V.
dc.contributor.authorStyopochkina, I. V.
dc.date.accessioned2020-10-15T12:24:49Z
dc.date.available2020-10-15T12:24:49Z
dc.date.issued2019
dc.description.abstractenThe paper is devoted to investigation of the problem of malicious information source detection among the users of popular social network. The advantages and disadvantages of existing algorithms of rumor source detection were analyzed. The practice-oriented algorithm of malicious source detection have been proposed, it differs from the existing ones with additional verification procedure of the authorship. Appropriate software have been developed.uk
dc.format.pagerangePp. 75-81uk
dc.identifier.citationMelnyk, V. V. Malicious Information Source Detection in Social Networks / V. V. Melnyk, I. V. Styopochkina // Theoretical and Applied Cybersecurity : scientific journal. – 2019. – Vol. 1, Iss. 1. – Pp. 75–81. – Bibliogr.: 6 ref.uk
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132019.1.169087
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/36780
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.sourceTheoretical and Applied Cybersecurity : scientific journal, 2019, Vol. 1, No. 1uk
dc.subjectsocial networkuk
dc.subjectsourceuk
dc.subjectmalicious informationuk
dc.subjectsocial graphuk
dc.subjectalgorithmuk
dc.subject.udc004.021:004.78uk
dc.titleMalicious Information Source Detection in Social Networksuk
dc.typeArticleuk

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