Conference proceeding
FORENSICS VS. ANTI-FORENSICS: A DECISION AND GAME THEORETIC FRAMEWORK
2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp 1749-1752
01 Jan 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In order to combat the spread of digital forgeries, researchers have developed a variety of forensic techniques to verify the authenticity of digital multimedia files. Though many of these techniques can reliably detect traditional forgeries, recent research has shown that they can easily be fooled by anti-forensic operations designed to hide evidence of forgery. In response, new forensic techniques have been developed to detect the use of anti-forensics. In light of this, there is now a need to develop a theoretical understanding of the interactions between a forger using anti-forensics and a forensic investigator. In this paper, we propose techniques to evaluate the performance of anti-forensic algorithms along with a game theoretic framework for analyzing the interplay between forensics and anti-forensics. Furthermore, we propose a new automatic video frame deletion detection technique along with a technique to detect the use of video anti-forensics. We evaluate these techniques using our proposed analytical framework.
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Details
- Title
- FORENSICS VS. ANTI-FORENSICS: A DECISION AND GAME THEORETIC FRAMEWORK
- Creators
- Matthew C. Stamm - Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USAW. Sabrina Lin - Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USAK. J. Ray Liu - Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USAIEEE
- Publication Details
- 2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp 1749-1752
- Series
- International Conference on Acoustics Speech and Signal Processing ICASSP
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000312381401211
- Scopus ID
- 2-s2.0-84864034865
- Other Identifier
- 991019295197104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic