Title
Pooled Steganalysis in JPEG: how to deal with the spreading strategy?
Abstract
In image pooled steganalysis, a steganalyst, Eve, aims to detect if a set of images sent by a steganographer, Alice, to a receiver, Bob, contains a hidden message. We can reasonably assess that the steganalyst does not know the strategy used to spread the payload across images. To the best of our knowledge, in this case, the most appropriate solution for pooled steganalysis is to use a Single-Image Detector (SID) to estimate/quantify if an image is cover or stego, and to average the scores obtained on the set of images.In such a scenario, where Eve does not know the spreading strategies, we experimentally show that if Eve can discriminate among few well-known spreading strategies, she can improve her steganalysis performances compared to a simple averaging or maximum pooled approach. Our discriminative approach allows obtaining steganalysis efficiencies comparable to those obtained by a clairvoyant, Eve, who knows the Alice spreading strategy. Another interesting observation is that DeLS spreading strategy behaves really better than all the other spreading strategies.Those observations results in the experimentation with six different spreading strategies made on Jpeg images with J-UNIWARD, a state-of-the-art Single-Image-Detector, and a discriminative architecture that is invariant to the individual payload in each image, invariant to the size of the analyzed set of images, and build on a binary detector (for the pooling) that is able to deal with various spreading strategies.
Year
DOI
Venue
2019
10.1109/WIFS47025.2019.9035096
2019 IEEE International Workshop on Information Forensics and Security (WIFS)
Keywords
DocType
ISSN
DeLS spreading strategy,Jpeg images,image pooled steganalysis,Eve,Single-Image Detector,steganalysis performances,maximum pooled approach,Alice spreading strategy,Single-Image-Detector,J-UNIWARD
Conference
2157-4766
ISBN
Citations 
PageRank 
978-1-7281-3218-1
0
0.34
References 
Authors
13
3
Name
Order
Citations
PageRank
Ahmad Zakaria100.34
Marc Chaumont217220.40
Gérard Subsol394.33