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Concealability-rate-distortion tradeoff in image compression anti-forensics
Conference proceeding

Concealability-rate-distortion tradeoff in image compression anti-forensics

Xiaoyu Chu, Matthew C Stamm, Yan Chen, K. J. Ray Liu and IEEE
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp 3063-3067
May 2013

Abstract

Anti-Forensics Concealability Digital Forensics Discrete cosine transforms Forensics Forgery Image coding JPEG compression Q-factor Rate and Distortion Rate distortion theory Transform coding
Due to the ease with which digital multimedia content can be modified, a number of techniques to forensically detect forgeries have been developed. Meanwhile, anti-forensic operations have been developed to defeat forensic techniques. When anti-forensics is applied, a forger must balance between the amount that editing fingerprints have been concealed and the distortion introduced to the content. Additionally, the forger may compress the forgery for storage or transmission, which introduces a tradeoff between data rate and distortion. In this paper, we define a measure of an anti-forensic technique's effectiveness which we call concealability and examine the tradeoff between concealability, rate, and distortion. We then characterize the concealability-rate-distortion (C-R-D) surface for double JPEG compression anti-forensics. To do this, we propose a new technique known as flexible anti-forensic dither to hide double JPEG fingerprints. From our experiments, we identify two surprising results related to the C-R-D surface.

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Web of Science research areas
Acoustics
Engineering, Electrical & Electronic
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