Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1136
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dc.contributor.authorDirik, Ahmet Emir-
dc.contributor.authorSencar, Hüsrev Taha-
dc.contributor.authorMemon, Nasir-
dc.date.accessioned2019-06-26T07:40:33Z
dc.date.available2019-06-26T07:40:33Z
dc.date.issued2014-12
dc.identifier.citationDirik, A. E., Sencar, H. T., & Memon, N. (2014). Analysis of seam-carving-based anonymization of images against PRNU noise pattern-based source attribution. IEEE Transactions on Information Forensics and Security, 9(12), 2277-2290.en_US
dc.identifier.issn1556-6013
dc.identifier.urihttps://ieeexplore.ieee.org/document/6914598/?arnumber=6914598-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1136-
dc.description.abstractThe availability of sophisticated source attribution techniques raises new concerns about privacy and anonymity of photographers, activists, and human right defenders who need to stay anonymous while spreading their images and videos. Recently, the use of seam-carving, a content-aware resizing method, has been proposed to anonymize the source camera of images against the well-known photoresponse nonuniformity (PRNU)-based source attribution technique. In this paper, we provide an analysis of the seam-carving-based source camera anonymization method by determining the limits of its performance introducing two adversarial models. Our analysis shows that the effectiveness of the deanonymization attacks depend on various factors that include the parameters of the seam-carving method, strength of the PRNU noise pattern of the camera, and an adversary's ability to identify uncarved image blocks in a seam-carved image. Our results show that, for the general case, there should not be many uncarved blocks larger than the size of 50x50 pixels for successful anonymization of the source camera.en_US
dc.language.isoenen_US
dc.publisherIEEE-INST Electrical Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Transactions On information Forensics And Securityen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPrnu Noise Patternen_US
dc.subjectSeam-Carvingen_US
dc.subjectSource Attributionen_US
dc.subjectAnonymizationen_US
dc.subjectDe-Anonymization Attacksen_US
dc.subjectCounter-Forensicsen_US
dc.titleAnalysis of Seam-Carving Anonymization of Images Against Prnu Noise Pattern-Based Source Attributionen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume9
dc.identifier.issue12
dc.identifier.startpage2277
dc.identifier.endpage2290
dc.authorid0000-0001-6910-6194-
dc.identifier.wosWOS:000353290200009en_US
dc.identifier.scopus2-s2.0-84911191957en_US
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1109/TIFS.2014.2361200-
dc.authorscopusid8616233200-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.relation.otherCenter for Interdisciplinary Studies in Security and Privacy, New York University Abu Dhabi, Abu Dhabi, United Arab Emiratesen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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