DocumentCode
3351750
Title
Undetectable image tampering through JPEG compression anti-forensics
Author
Stamm, Matthew C. ; Tjoa, Steven K. ; Lin, W. Sabrina ; Liu, K. J Ray
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
2109
Lastpage
2112
Abstract
Recently, a number of digital image forensic techniques have been developed which are capable of identifying an image´s origin, tracing its processing history, and detecting image forgeries. Though these techniques are capable of identifying standard image manipulations, they do not address the possibility that anti-forensic operations may be designed and used to hide evidence of image tampering. In this paper, we propose an anti-forensic operation capable of removing blocking artifacts from a previously JPEG compressed image. Furthermore, we show that by using this operation along with another anti-forensic operation which we recently proposed, we are able to fool forensic methods designed to detect evidence of JPEG compression in decoded images, determine an image´s origin, detect double JPEG compression, and identify cut-and-paste image forgeries.
Keywords
computer forensics; data compression; decoding; image coding; JPEG compression anti-forensics; blocking artifact removal; cut-and-paste image forgery identification; digital image forensic technique; double JPEG compression detection; image decoding; image forgery detection; image manipulation; image origin identification; processing history tracing; undetectable image tampering; Discrete cosine transforms; Forensics; Forgery; Image coding; Q factor; Quantization; Transform coding; Anti-Forensics; Digital Forensics; JPEG Compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5652553
Filename
5652553
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