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
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;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652553