Conference proceeding
Anti-forensics of JPEG compression
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp 1694-1697
Mar 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The widespread availability of photo editing software has made it easy to create visually convincing digital image forgeries. To address this problem, there has been much recent work in the field of digital image forensics. There has been little work, however, in the field of anti-forensics, which seeks to develop a set of techniques designed to fool current forensic methodologies. In this work, we present a technique for disguising an image's JPEG compression history. An image's JPEG compression history can be used to provide evidence of image manipulation, supply information about the camera used to generate an image, and identify forged regions within an image. We show how the proper addition of noise to an image's discrete cosine transform coefficients can sufficiently remove quantization artifacts which act as indicators of JPEG compression while introducing an acceptable level of distortion. Simulation results are provided to verify the efficacy of this anti-forensic technique.
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Details
- Title
- Anti-forensics of JPEG compression
- Creators
- Matthew C Stamm - University of Maryland, College ParkSteven K Tjoa - University of Maryland, College ParkW. Sabrina Lin - University of Maryland, College ParkK. J. R Liu - University of Maryland, College ParkIEEE
- Publication Details
- 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp 1694-1697
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000287096001170
- Scopus ID
- 2-s2.0-78049404806
- Other Identifier
- 991019295202504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic