Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/28528
Title: Analysis of seam-carving-based anonymization of images against PRNU noise pattern-based source attribution
Authors: Sencar, Hüsrev Taha
Memon, Nasir D.
Uludağ Üniversitesi/Mühendislik Fakültesi/Elektrik Elektronik Mühendisliği Bölümü.
0000-0002-6200-1717
Dirik, Ahmet Emir
K-6977-2012
23033658100
Keywords: PRNU noise pattern
Seam-carving
Source attribution
Anonymization
De-anonymization attacks
Counter-forensics
Digital camera identification
Sensor
Computer science
Engineering
Anonymization
Content-aware
Deanonymization
Photoresponse nonuniformity
PRNU noise
Seam-carving
Source attribution
Source attribution techniques
Cameras
Issue Date: Dec-2014
Publisher: IEEE-INST Electrical Electronics Engineers
Citation: Dirik, A. E. vd. (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://doi.org/10.1109/TIFS.2014.2361200
https://ieeexplore.ieee.org/abstract/document/6914598
http://hdl.handle.net/11452/28528
ISSN: 1556-6013
1556-6021
Appears in Collections:Scopus
Web of Science

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