A novel approach for spam email detection based on shifted binary patterns

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dc.authorid0000-0001-5167-1101en_US
dc.authorid0000-0003-0710-0867en_US
dc.contributor.authorKaya, Yılmaz
dc.contributor.authorErtuğrul, Ömer Faruk
dc.date.accessioned2019-07-04T13:15:00Z
dc.date.available2019-07-04T13:15:00Z
dc.date.issued2016-01-11en_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractAdvances in communication allow people flexibility to communicate in various ways. Electronic mail (email) is one of the most used communication methods for personal or business purposes. However, it brings one of the most tackling issues, called spam email, which also raises concerns about data safety. Thus, the requirement of detecting spams is crucial for keeping the users safe and saving them from the waste of time while tackling those issues. In this study, an effective approach based on the probability of the usage of the characters that has similar orders with respect to their UTF-8 value by employing shifted one-dimensional local binary pattern (shifted-1D-LBP) was used to extract quantitative features from emails for spam email detection. Shifted-1D-LBP, which can be described as an ordered set of binary comparisons of the center value with its neighboring values, is a content-based approach to spam detection with low-level information. To validate the performance of the proposed approach, three benchmark corpora, Spamassasian, Ling-Spam, and TREC email corpuses, were used. The average classification accuracies of the proposed approach were 92.34%, 92.57%, and 95.15%, respectively. Analysis and promising experimental results indicated that the proposed approach was a very competitive feature extraction method in spam email filtering.en_US
dc.identifier.citationKaya, Y., Ertuğrul, Ö F. (2016). A novel approach for spam email detection based on shifted binary patterns. Security and Communication Networks, 9(10), pp. 1216-1225. https://doi.org/10.1002/sec.1412en_US
dc.identifier.endpage1225en_US
dc.identifier.issn1939-0114
dc.identifier.issn1939-0122
dc.identifier.issue10en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1216en_US
dc.identifier.urihttps://doi.org/10.1002/sec.1412
dc.identifier.urihttps://hdl.handle.net/20.500.12402/2192
dc.identifier.volume9en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.relation.isversionof10.1002/sec.1412en_US
dc.relation.journalSecurity and Communication Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectAutomated Text Categorizationen_US
dc.subjectFeature Extractionen_US
dc.subjectShifted Binary Patternsen_US
dc.subjectSpam Email Detectionen_US
dc.titleA novel approach for spam email detection based on shifted binary patternsen_US
dc.typeArticleen_US

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