Paper 2006/301
New features for JPEG Steganalysis
Johann Barbier, Éric Filiol, and Kichenakoumar Mayoura
Abstract
We present in this paper a new approach for specific JPEG
steganalysis and propose studying statistics of the compressed
DCT coefficients. Traditionally, steganographic algorithms try to
preserve statistics of the DCT and of the spatial domain, but they
cannot preserve both and also control the alteration of the
compressed data. We have noticed a deviation of the entropy of the
compressed data after a first embedding. This deviation is greater
when the image is a cover medium than when the image is a stego
image. To observe this deviation, we pointed out new statistic
features and combined them with the Multiple Embedding
Method. This approach is motivated by the \textit{Avalanche
Criterion} of the JPEG lossless compression step. This criterion
makes possible the design of detectors whose detection rates are
independent of the payload. Finally, we designed a Fisher
discriminant based classifier for well known steganographic
algorithms, Outguess, F5 and Hide and Seek. The experiemental results
we obtained show the efficiency of our classifier for these
algorithms. Moreover, it is also designed to work with low embedding
rates
Metadata
- Available format(s)
-
PDF
- Publication info
- Published elsewhere. Unknown where it was published
- Keywords
- steganalysisJPEGFisher discriminantavalanche
- Contact author(s)
- johann_barbier @ yahoo fr
- History
- 2006-09-06: received
- Short URL
- https://ia.cr/2006/301
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2006/301,
author = {Johann Barbier and Éric Filiol and Kichenakoumar Mayoura},
title = {New features for {JPEG} Steganalysis},
howpublished = {Cryptology {ePrint} Archive, Paper 2006/301},
year = {2006},
url = {https://eprint.iacr.org/2006/301}
}
