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Motion Codec Ant Forensics

by Nitin Verma, P S Mann
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 19
Year of Publication: 2015
Authors: Nitin Verma, P S Mann
10.5120/20086-2139

Nitin Verma, P S Mann . Motion Codec Ant Forensics. International Journal of Computer Applications. 114, 19 ( March 2015), 21-25. DOI=10.5120/20086-2139

@article{ 10.5120/20086-2139,
author = { Nitin Verma, P S Mann },
title = { Motion Codec Ant Forensics },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 19 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number19/20086-2139/ },
doi = { 10.5120/20086-2139 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:18.333680+05:30
%A Nitin Verma
%A P S Mann
%T Motion Codec Ant Forensics
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 19
%P 21-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper designs an anti-forensics technique for video files. In this technique the frames are extracted from the video and extracted frames are analysed by using the total variation and the Q. The relation of the total variation and the Q is used to get whether particular frame is dithered or not. The simulation is carried out on the video downloaded from the internet and analysed by using the Tp rate, Fp rate etc over the MATLAB.

References
  1. Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, and K. J. Ray Liu. 2010. Anti-forensics of JPEG compression", In Acoustics Speech and Signal Processing (ICASSP), pp. 1694-1697.
  2. Matthew C. Stamm, Student Member, IEEE, and K. J. Ray Liu, Fellow, IEEE. 2011. Anti-forensics of digital image compression", IEEE Transactions on Information Security, Vol. 6 No. 3, pp. 1050-1065, September.
  3. Stamm, M. C. , & Liu, K. R, 2010. Forensic detection of image manipulation using statistical intrinsic fingerprints, IEEE Transactions on Information Forensics and Security, Vol. 5 No. 3, pp. 492-506.
  4. Fridrich, A. Jessica, B. David Soukal, and A. Jan Lukáš. 2003. Detection of copy-move forgery in digital images. In Proceedings of Digital Forensic Research Workshop.
  5. Lukáš, Jan, and Jessica Fridrich. 2003 Estimation of primary quantization matrix in double compressed JPEG images. Proc. Digital Forensic Research Workshop.
  6. Weiqi Luo, 2003 A novel method for detecting cropped and recompressed image block, 1­4244­0728­1/07/$20. 00 ©IEEE.
  7. Bayram, Sevinc, Husrev Taha Sencar, and Nasir Memon. 2008. A survey of copy-move forgery detection techniques. " IEEE Western New York Image Processing Workshop.
  8. W. Sabrina Lin, 2009. Digital Image Source Coder Forensics Via Intrinsic Fingerprints, IEEE Transactions On Information Forensics And Security, VOL. 4, NO. 3.
  9. Matthew C. Stamm 2009 Forensic Detection of Image Tampering Using Intrinsic Statistical Fingerprints in Histograms, Proceedings of 2009 APSIPA Annual Summit and Conference, Sapporo, Japan, October 4-7, 2009.
  10. Matthew C. Stamm 2010. Forensic Detection of Image Manipulation Using Statistical Intrinsic Fingerprints", IEEE Transactions On Information Forensics And Security, VOL. 5, NO. 3, SEPTEMBER.
  11. Feng, Xiaoying, Ingemar J. Cox, and Gwenaël Doërr. 2011. An energy-based method for the forensic detection of Re-sampled images. " Multimedia and Expo (ICME), 2011 IEEE International Conference on. IEEE.
  12. Tiziano Bianchi, 2011 Improved Dct Coefficient Analysis For Forgery Localization In Jpeg Images, 978-1-4577-0539-7/11/$26. 00 ©2011 IEEE.
  13. P. Bestagini , 2012. An Overview On Video Forensics, 20th European Signal Processing Conference (EUSIPCO 2012) Bucharest, Romania, August 27 - 31.
  14. Manimurugan. S (2012) A Tailored Anti-Forensic Approach for Bitmap Compression in Medical Images", IOSR Journal of Computer Engineering (IOSRJCE),ISSN: 2278-0661 Volume 5, Issue 1 Sep-Oct.
  15. Böhme, Rainer, and Matthias Kirchner. 2013. Counter-forensics: Attacking image forensics. Digital Image Forensics. Springer New York. 327-366.
Index Terms

Computer Science
Information Sciences

Keywords

Anti-forensics video TV Q

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