Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1136
Title: Analysis of Seam-Carving-Based Anonymization of Images Against PRNU Noise Pattern-Based Source Attribution
Authors: Dirik, Ahmet Emir
Sencar, Hüsrev Taha
Memon, Nasir
143687
Keywords: Prnu Noise Pattern
Seam-Carving
Source Attribution
Anonymization
De-Anonymization Attacks
Counter-Forensics
Issue Date: Dec-2014
Publisher: IEEE-INST Electrical Electronics Engineers Inc.
Source: Dirik, 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.
Abstract: The 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.
URI: https://ieeexplore.ieee.org/document/6914598/?arnumber=6914598
https://hdl.handle.net/20.500.11851/1136
ISSN: 1556-6013
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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