Anti-forensics of double JPEG compression detection
Document Type
Conference Proceeding
Publication Date
9-7-2012
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. © 2012 Springer-Verlag.
Identifier
84865681904 (Scopus)
ISBN
[9783642322044]
Publication Title
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
External Full Text Location
https://doi.org/10.1007/978-3-642-32205-1_33
e-ISSN
16113349
ISSN
03029743
First Page
411
Last Page
424
Volume
7128 LNCS
Recommended Citation
Sutthiwan, Patchara and Shi, Yun Q., "Anti-forensics of double JPEG compression detection" (2012). Faculty Publications. 18113.
https://digitalcommons.njit.edu/fac_pubs/18113
