Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack
Haodong Li, Weiqi Luo, Quanquan Rao, Jiwu Huang

TL;DR
This paper introduces an improved fingerprint-copy attack that disperses the fingerprint superimposition to evade camera identification and triangle test detection, demonstrating high effectiveness on multiple camera images.
Contribution
The paper presents a novel block-wise, randomized fingerprint-copy attack method that reduces detectability by the triangle test, enhancing attack effectiveness.
Findings
Effectively fools camera identification on 2,900 images from 4 cameras.
Significantly degrades the performance of the triangle test.
Reduces the impact of non-PRNU components in forged images.
Abstract
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…
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Taxonomy
TopicsDigital Media Forensic Detection · Law in Society and Culture · Advanced Steganography and Watermarking Techniques
