Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5569
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dc.contributor.authorBayram S.-
dc.contributor.authorDirik A. E.-
dc.contributor.authorSencar, Hüsrev Taha-
dc.contributor.authorMemon, Nasir-
dc.date.accessioned2021-09-11T15:19:16Z-
dc.date.available2021-09-11T15:19:16Z-
dc.date.issued2010en_US
dc.identifier.citation2010 20th International Conference on Pattern Recognition, ICPR 2010, 23 August 2010 through 26 August 2010, Istanbul, 82392en_US
dc.identifier.isbn9780769541099-
dc.identifier.issn1051-4651-
dc.identifier.urihttps://doi.org/10.1109/ICPR.2010.1064-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5569-
dc.description.abstractMost work on steganalysis, except a few exceptions, have primarily focused on providing features with high discrimination power without giving due consideration to issues concerning practical deployment of steganalysis methods. In this work, we focus on machine learning aspect of steganalyzer design and utilize a hierarchical ensemble of classifiers based approach to tackle two main issues. Firstly, proposed approach provides a workable and systematic procedure to incorporate several steganalyzers together in a composite steganalyzer to improve detection performance in a scalable and cost-effective manner. Secondly, since the approach can be readily extended to multi-class classification it can also be used to infer the steganographic technique deployed in generation of a stego-object. We provide results to demonstrate the potential of the proposed approach. © 2010 IEEE.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings - International Conference on Pattern Recognitionen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAn ensemble of classifiers approach to steganalysisen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage4376en_US
dc.identifier.endpage4379en_US
dc.identifier.scopus2-s2.0-78149474833en_US
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1109/ICPR.2010.1064-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference2010 20th International Conference on Pattern Recognition, ICPR 2010en_US
dc.identifier.scopusquality--
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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