Classification of Turkish spam e-mails with artificial immune system

dc.contributor.authorÖzdemIr, Cüneyt
dc.contributor.authorAtas, Musa
dc.contributor.authorÖzer, Ahmet Bedri
dc.date.accessioned2024-12-24T19:09:45Z
dc.date.available2024-12-24T19:09:45Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109
dc.description.abstractIn this study, it is aimed to detect frequently encountered spam e-mails with artificial immune algorithms. Turkish spam and non-spam e-mail dataset are generated within the scope of the work. Fisher discriminant analysis (FDA) and Euclidean Distance (ED) are utilized in order to extract features from the turkish email dataset. In order to evaluate the classification accuracies, artificial immune algorithms with Bayes as a linear and artificial neural network as a non-linear classifiers are used. Various artificial immune algorithms, including AIRS1, AIRS2, AIRS2PARALLEL, CLONALG and CSCA are investigated. Among them, CSCA reveals the best classification accuracy of 86%. Furthermore, CSCA algorithm classifies spam emails with 81% and non-spam e-mails with 90% accuracies. © 2013 IEEE.
dc.identifier.doi10.1109/SIU.2013.6531457
dc.identifier.isbn978-146735562-9
dc.identifier.scopus2-s2.0-84880892537
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org10.1109/SIU.2013.6531457
dc.identifier.urihttps://hdl.handle.net/20.500.12604/3731
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference, SIU 2013
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectArtificial immune algorithms
dc.subjectCreate a dataset
dc.subjectCSCA
dc.subjectFisher
dc.subjectTurkish spam e-mails
dc.titleClassification of Turkish spam e-mails with artificial immune system
dc.title.alternativeTürkçe istenmeyen elektronik postalarin yapay bagisiklik sistemi ile siniflandirilmasi
dc.typeConference Object

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