Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack
The fingerprint-copy attack aims to confuse camera identification based on sensor pattern noise. However, the triangle test shows that the forged images undergone fingerprint-copy attack would share a non-PRNU (Photo-response nonuniformity) component with every stolen image, and thus can detect fing...
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Main Authors | , , , |
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Format | Journal Article |
Language | English |
Published |
24.07.2017
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Subjects | |
Online Access | Get full text |
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Summary: | The fingerprint-copy attack aims to confuse camera identification based on
sensor pattern noise. However, the triangle test shows that the forged images
undergone fingerprint-copy attack would share a non-PRNU (Photo-response
nonuniformity) component with every stolen image, and thus can detect
fingerprint-copy attack. In this paper, we propose an improved fingerprint-copy
attack scheme. Our main idea is to superimpose the estimated fingerprint into
the target image dispersedly, via employing a block-wise method and using the
stolen images randomly and partly. We also develop a practical method to
determine the strength of the superimposed fingerprint based on objective image
quality. In such a way, the impact of non-PRNU component on the triangle test
is reduced, and our improved fingerprint-copy attack is difficultly detected.
The experiments evaluated on 2,900 images from 4 cameras show that our scheme
can effectively fool camera identification, and significantly degrade the
performance of the triangle test simultaneously. |
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DOI: | 10.48550/arxiv.1707.07795 |