Novel authorship verification model for social media accounts compromised by a human
| dc.authorid | Alterkavi, Suleyman/0000-0002-9598-4975 | |
| dc.contributor.author | Alterkavi, Suleyman | |
| dc.contributor.author | Erbay, Hasan | |
| dc.date.accessioned | 2025-01-21T16:42:55Z | |
| dc.date.available | 2025-01-21T16:42:55Z | |
| dc.date.issued | 2021 | |
| dc.department | Kırıkkale Üniversitesi | |
| dc.description.abstract | Social media networks usage is spreading but accompanied by a new shape of the social engineering attacks in which users' accounts are compromised by attackers to spread malicious messages for different purposes. To overcome these attacks, authorship verification, a classification problem for classifying a text, whether it belongs to a user or not, is needed. Moreover, the verification must be accurate and fast. Herein, an authorship verification model proposed. The model uses XGBoost, as a preprocessor, to discover functional features of the text message, which ranked using MCDM methods to build a classification model. Twitter messages are used to test the model; however, any social media's data might be used. The suggested model was evaluated against a crawled dataset from Twitter composed of 16124 tweets with 280 characters. The proposed method achieved F-score over 0.94. | |
| dc.identifier.doi | 10.1007/s11042-020-10361-2 | |
| dc.identifier.endpage | 13591 | |
| dc.identifier.issn | 1380-7501 | |
| dc.identifier.issn | 1573-7721 | |
| dc.identifier.issue | 9 | |
| dc.identifier.scopus | 2-s2.0-85100198416 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 13575 | |
| dc.identifier.uri | https://doi.org/10.1007/s11042-020-10361-2 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12587/25167 | |
| dc.identifier.volume | 80 | |
| dc.identifier.wos | WOS:000608106800001 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Multimedia Tools and Applications | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241229 | |
| dc.subject | Authorship verification; Natural language processing; Machine learning | |
| dc.title | Novel authorship verification model for social media accounts compromised by a human | |
| dc.type | Article |
