Paper Info
Title
An Empirical Study Of Steganography And Steganalysis Of Color Images In The Jpeg Domain
Abstract
This paper tackles the problem of JPEG steganography and steganalysis for color images, a problem that has rarely been studied so far and which deserves more attention. After focusing on the 4:4:4 sampling strategy, we propose to modify for each channel the embedding rate of J-UNIWARD and UERD steganographic schemes in order to arbitrary spread the payload between the luminance and the chrominance components while keeping a constant message size for the different strategies. We also compare our spreading payload strategy w.r.t. two strategies: (i) the concatenation of the cost map (CONC) or (ii) equal embedding rates (EER) among channels. We then select good candidates within the feature sets designed either for JPEG or color steganography. Our conclusions are threefold: (i) the GFR or DCTR features sets, concatenated on the three channels offer better performance than ColorSRMQ1 for JPEG Quality Factor (QF) of 75 and 95 but ColorSRMQ1 is more sensitive for QF= 100, (ii) the CONC or EER strategies are suboptimal, and (iii) depending of the quality factors and the embedding schemes, the empirical security is maximized when between 33% (QF= 100, UERD) and 95% (QF= 75, J-UNIWARD) of the payload is allocated to the luminance channel.
Year
DOI
Venue
2018
10.1007/978-3-030-11389-6_22
DIGITAL FORENSICS AND WATERMARKING, IWDW 2018
Keywords
Field
DocType
Steganography, Steganalysis, JPEG, Color, Features
Computer vision,Steganography,Embedding,Pattern recognition,Computer science,Chrominance,JPEG,Artificial intelligence,Concatenation,Steganalysis,Luminance,Payload
Conference
Volume
ISSN
Citations 
11378
0302-9743
0
PageRank 
References 
Authors
0.34
13
4
Name
Order
Citations
PageRank
Théo Taburet111.36
Louis Filstroff211.72
Patrick Bas312116.17
Wadih Sawaya4256.35