Publication Details
Title: Counter-Forensics: Attacking Image Forensics
Author: R. Boehme and M. Kirchner
Group: Vision
Date: 2012
PDF: http://www.icsi.berkeley.edu/pubs/vision/ICSI_counterforensics12.pdf
Overview:
This chapter discusses counter-forensics, the art and science of impeding or misleading forensic analyses of digital images. Research on counter-forensics is motivated by the need to assess and improve the reliability of forensic methods in situations where intelligent adversaries make efforts to induce a certain outcome of forensic analyses. Counter-forensics is first defined in a formal decision-theoretic framework. This framework is then interpreted and extended to encompass the requirements to forensic analyses in practice, including a discussion of the notion of authenticity in the presence of legitimate processing, and the role of image models with regard to the epistemic underpinning of the forensic decision problem. A terminology is developed that distinguishes security from robustness properties, integrated from post-processing attacks, and targeted from universal attacks. This terminology is directly applied in a self-contained technical survey of counter-forensics against image forensics, notably techniques that suppress traces of image processing and techniques that synthesize traces of authenticity, including examples and brief evaluations. A discussion of relations to other domains of multimedia security and an overview of open research questions concludes the chapter.
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Dienst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
In Digital Image Forensics, H. T. Sencar and N. D. Memon, eds., pp. 327-366, Springer
Bibliographic Reference:
R. Boehme and M. Kirchner. Counter-Forensics: Attacking Image Forensics. In Digital Image Forensics, H. T. Sencar and N. D. Memon, eds., pp. 327-366, Springer, 2012
Author: R. Boehme and M. Kirchner
Group: Vision
Date: 2012
PDF: http://www.icsi.berkeley.edu/pubs/vision/ICSI_counterforensics12.pdf
Overview:
This chapter discusses counter-forensics, the art and science of impeding or misleading forensic analyses of digital images. Research on counter-forensics is motivated by the need to assess and improve the reliability of forensic methods in situations where intelligent adversaries make efforts to induce a certain outcome of forensic analyses. Counter-forensics is first defined in a formal decision-theoretic framework. This framework is then interpreted and extended to encompass the requirements to forensic analyses in practice, including a discussion of the notion of authenticity in the presence of legitimate processing, and the role of image models with regard to the epistemic underpinning of the forensic decision problem. A terminology is developed that distinguishes security from robustness properties, integrated from post-processing attacks, and targeted from universal attacks. This terminology is directly applied in a self-contained technical survey of counter-forensics against image forensics, notably techniques that suppress traces of image processing and techniques that synthesize traces of authenticity, including examples and brief evaluations. A discussion of relations to other domains of multimedia security and an overview of open research questions concludes the chapter.
Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Dienst (DAAD) through a postdoctoral fellowship.
Bibliographic Information:
In Digital Image Forensics, H. T. Sencar and N. D. Memon, eds., pp. 327-366, Springer
Bibliographic Reference:
R. Boehme and M. Kirchner. Counter-Forensics: Attacking Image Forensics. In Digital Image Forensics, H. T. Sencar and N. D. Memon, eds., pp. 327-366, Springer, 2012