Title :
Anti-forensics for frame deletion/addition in MPEG video
Author :
Stamm, Matthew Christopher ; Liu, K.J.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
Abstract :
Due to the ease with which digital information can be altered, many digital forensic techniques have recently been developed to authenticate multimedia content. One important digital forensic result is that adding or deleting frames from an MPEG video sequence introduces a temporally distributed fingerprint into the video can be used to identify frame deletion or addition. By contrast, very little research exists into anti-forensic operations designed to make digital forgeries undetectable by forensic techniques. In this paper, we propose an anti-forensic technique capable of removing the temporal fingerprint from MPEG videos that have undergone frame addition or deletion. We demonstrate that our proposed anti-forensic technique can effectively remove this fingerprint through a series of experiments.
Keywords :
authorisation; computer forensics; data compression; image sequences; multimedia computing; video coding; MPEG video sequence; antiforensic operation; digital forensic technique; digital forgery; digital information; frame deletion; multimedia content. authentication; temporally distributed fingerprint; Digital forensics; Encoding; Forgery; Image coding; Transform coding; Video sequences; Anti-Forensics; Digital Forensics; Video Compression;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946872