In the last years many image forensic (IF) algorithms have been proposed to reveal traces of processing or tampering. On the other hand, Anti-Forensic (AF) tools have also been developed to help the forger in removing editing footprints. Inspired by the fact that it is much harder to commit a perfect crime when the forensic analyst uses a multi-clue investigation strategy, we analyse the possibility offered by the adoption of a data fusion framework in a Counter-Anti-Forensic (CAF) scenario. We do so by adopting a theoretical framework, based on Dempster-Shafer Theory of Evidence, to synergically merge information provided by IF tools and CAF tools, whose goal is to reveal traces introduced by anti-forensic algorithms. The proposed system accounts for the non-trivial relationships between IF and CAF techniques; for example, in some cases the outputs from the former are expected to contradict the output from the latter. We evaluate the proposed method within a representative forensic task, that is splicing detection in JPEG images, with the forger trying to conceal traces using two different counter-forensic methods. Results show that decision fusion strongly limits the effectiveness of AF methods.

Fontani, M., Bonchi, A., Piva, A., & Barni, M. (2014). Countering anti-forensics by means of data fusion. In MEDIA WATERMARKING, SECURITY, AND FORENSICS 2014 (pp.UNSP 90280Z). Bellingham : SPIE-INT SOC OPTICAL ENGINEERING [10.1117/12.2039569].

Countering anti-forensics by means of data fusion

FONTANI, MARCO;BARNI, MAURO
2014

Abstract

In the last years many image forensic (IF) algorithms have been proposed to reveal traces of processing or tampering. On the other hand, Anti-Forensic (AF) tools have also been developed to help the forger in removing editing footprints. Inspired by the fact that it is much harder to commit a perfect crime when the forensic analyst uses a multi-clue investigation strategy, we analyse the possibility offered by the adoption of a data fusion framework in a Counter-Anti-Forensic (CAF) scenario. We do so by adopting a theoretical framework, based on Dempster-Shafer Theory of Evidence, to synergically merge information provided by IF tools and CAF tools, whose goal is to reveal traces introduced by anti-forensic algorithms. The proposed system accounts for the non-trivial relationships between IF and CAF techniques; for example, in some cases the outputs from the former are expected to contradict the output from the latter. We evaluate the proposed method within a representative forensic task, that is splicing detection in JPEG images, with the forger trying to conceal traces using two different counter-forensic methods. Results show that decision fusion strongly limits the effectiveness of AF methods.
978-0-8194-9945-5
Fontani, M., Bonchi, A., Piva, A., & Barni, M. (2014). Countering anti-forensics by means of data fusion. In MEDIA WATERMARKING, SECURITY, AND FORENSICS 2014 (pp.UNSP 90280Z). Bellingham : SPIE-INT SOC OPTICAL ENGINEERING [10.1117/12.2039569].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/981787
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