@inproceedings{de09c855f23e4fc3a56fd530379f05ed,
title = "Anti-forensics of double JPEG compression detection",
abstract = "In this paper, a simple yet effective anti-forensic scheme capable of misleading double JPEG compression detection techniques is proposed. Based on image resizing with bilinear interpolation, the proposed operation aims at destroying JPEG grid structure while preserving reasonably good image quality. Given a doubly compressed image, our attack modifies the image by JPEG decompressing, shrinking and zooming the image with bilinear interpolation before JPEG compression with the same quality factor as used in the given image. The efficacy of the proposed scheme has been evaluated on two prominent double JPEG detection techniques and the outcome reveals that the proposed scheme is mostly effective, especially in the cases that the first quality factor is lower than the second quality factor.",
keywords = "Anti-Forensics, Bilinear Interpolation, Counter-Forensics, Double JPEG Compression, Histogram Equalization, Image Resizing, Image Rotation, Low-Pass Filtering, Shrink-and-Zoom, Tampering Detection",
author = "Patchara Sutthiwan and Shi, {Yun Q.}",
year = "2012",
doi = "10.1007/978-3-642-32205-1_33",
language = "English (US)",
isbn = "9783642322044",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "411--424",
booktitle = "Digital-Forensics and Watermarking - 10th International Workshop, IWDW 2011, Revised Selected Papers",
note = "10th International Workshop on Digital-Forensics and Watermarking, IWDW 2011 ; Conference date: 23-10-2011 Through 26-10-2011",
}