PRNU-based source device attribution for YouTube videos

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dc.contributor.buuauthorKouokam, Emmanuel Kiegaing
dc.contributor.buuauthorDirik, Ahmet Emir
dc.contributor.departmentBursa Uludağ Üniversitesi/Mühendislik Fakültesi/Bilgisayar Mühendisliği Bölümü.tr_TR
dc.contributor.orcid0000-0002-6200-1717tr_TR
dc.contributor.researcheridK-6977-2012tr_TR
dc.contributor.scopusid57208086263tr_TR
dc.contributor.scopusid23033658100tr_TR
dc.date.accessioned2023-02-14T07:27:45Z
dc.date.available2023-02-14T07:27:45Z
dc.date.issued2019-03-17
dc.description.abstractPhoto Response Non-Uniformity (PRNU) is a camera imaging sensor imperfection which has earned a great interest for source device attribution of digital videos. A majority of recent researches about PRNU-based source device attribution for digital videos do not take into consideration the effects of video compression on the PRNU noise in video frames, but rather consider video frames as isolated images of equal importance. As a result, these methods perform poorly on re-compressed or low bit-rate videos. This paper proposes a novel method for PRNU fingerprint estimation from video frames taking into account the effects of video compression on the PRNU noise in these frames. With this method, we aim to determine whether two videos from unknown sources originate from the same device or not. Experimental results on a large set of videos show that the method we propose is more effective than existing frame-based methods that use either only I frames or all (I-B-P) frames, especially on YouTube videos.en_US
dc.identifier.citationKouokam, E. K. ve Dirik, A. E. (2019). ''PRNU-based source device attribution for YouTube videos''. Digital Investigation, 29, 91-100.en_US
dc.identifier.endpage100tr_TR
dc.identifier.issn1742-2876
dc.identifier.issn1873-202X
dc.identifier.scopus2-s2.0-85063756928tr_TR
dc.identifier.startpage91tr_TR
dc.identifier.urihttps://doi.org/10.1016/j.diin.2019.03.005
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1742287618304377
dc.identifier.urihttp://hdl.handle.net/11452/31006
dc.identifier.volume29tr_TR
dc.identifier.wos000469921600009tr_TR
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.journalDigital Investigationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer scienceen_US
dc.subjectVideo forensicsen_US
dc.subjectSource device attributionen_US
dc.subjectPhoto-response non-uniformity (PRNU)en_US
dc.subjectH.264/AVCen_US
dc.subjectYouTubeen_US
dc.subjectComputer graphicsen_US
dc.subjectImage codingen_US
dc.subjectImage compressionen_US
dc.subjectMultimedia systemsen_US
dc.subjectH.264/AVCen_US
dc.subjectPhoto response non uniformities (PRNU)en_US
dc.subjectSource device attributionen_US
dc.subjectVideo forensicsen_US
dc.subjectDigital forensicsen_US
dc.subject.scopusDigital Image; Tampering; Discrete Cosine Transformsen_US
dc.subject.wosComputer science, information systemsen_US
dc.subject.wosComputer science, interdisciplinary applicationsen_US
dc.titlePRNU-based source device attribution for YouTube videosen_US
dc.typeArticle
dc.wos.quartileQ3en_US

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