vix.ing · top · new · best · stats · spec

Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack

2017/07/25 by Haodong Li, Weiqi Luo, Li, Haodong +5
Computer Science · Social Sciences · #Advanced Steganography and Watermarking Techniques #Digital Media Forensic Detection #FOS: Computer and information sciences #Law in Society and Culture #Multimedia (cs.MM)

paper · pdf · doi:10.48550/arxiv.1707.07795

openalex publication_date 2017/07/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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 show that our scheme can effectively fool camera identification, and significantly degrade the performance of the triangle test simultaneously.

Related