Design and Analysis of a Novel Authorship Verification Framework for Hijacked Social Media Accounts Compromised by a Human

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dc.authoridAlterkavi, Suleyman/0000-0002-9598-4975
dc.authoridErbay, Hasan/0000-0002-7555-541X
dc.contributor.authorAlterkavi, Suleyman
dc.contributor.authorErbay, Hasan
dc.date.accessioned2025-01-21T16:37:20Z
dc.date.available2025-01-21T16:37:20Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractCompromising the online social network account of a genuine user, by imitating the user's writing trait for malicious purposes, is a standard method. Then, when it happens, the fast and accurate detection of intruders is an essential step to control the damage. In other words, an efficient authorship verification model is a binary classification for the investigation of the text, whether it is written by a genuine user or not. Herein, a novel authorship verification framework for hijacked social media accounts, compromised by a human, is proposed. Significant textual features are derived from a Twitter-based dataset. They are composed of 16124 tweets with 280 characters crawled and manually annotated with the authorship information. XGBoost algorithm is then used to highlight the significance of each textual feature in the dataset. Furthermore, the ELECTRE approach is utilized for feature selection, and the rank exponent weight method is applied for feature weighting. The reduced dataset is evaluated with many classifiers, and the achieved result of the F-score is 94.4%.
dc.identifier.doi10.1155/2021/8869681
dc.identifier.issn1939-0114
dc.identifier.issn1939-0122
dc.identifier.scopus2-s2.0-85100249982
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1155/2021/8869681
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24458
dc.identifier.volume2021
dc.identifier.wosWOS:000616062500002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley-Hindawi
dc.relation.ispartofSecurity and Communication Networks
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.titleDesign and Analysis of a Novel Authorship Verification Framework for Hijacked Social Media Accounts Compromised by a Human
dc.typeArticle

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