Paper Info
Title
Digital image steganography using stochastic modulation
Abstract
In this paper, we present a new steganographic paradigm for digital images in raster formats. Message bits are embedded in the cover image by adding a weak noise signal with a specified but arbitrary probabilistic distribution. This embedding mechanism provides the user,with the flexibility to mask the embedding distortion as noise generated by a particular image acquisition device. This type of embedding will lead to more secure schemes because now the attacker must distinguish statistical anomalies that might be created by the embedding process from those introduced during the image acquisition itself. Unlike previously proposed schemes, this new approach, that we call stochastic modulation, achieves oblivious data transfer without using noise extraction algorithms or error correction. This leads to higher capacity (up to 0.8 bits per pixel) and a convenient and simple implementation with low embedding and extraction complexity. But most importantly, because the embedding noise can have arbitrary properties that approximate a given device noise, the, new method offers better security than existing methods. At the end of this paper, we extend stochastic modulation to a content-dependent device noise and we also discuss possible attacks on this scheme based on the most recent advances in steganalysis.
Year
DOI
Venue
2003
10.1117/12.479739
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
steganography,steganalysis,stochastic modulation,device noise
Computer vision,Steganography,Embedding,Raster graphics,Noise (signal processing),Algorithm,Error detection and correction,Digital image,Color depth,Artificial intelligence,Steganalysis,Mathematics
Conference
Volume
ISSN
Citations 
5020
0277-786X
50
PageRank 
References 
Authors
4.29
7
2
Name
Order
Citations
PageRank
Jessica Fridrich18014592.05
Miroslav Goljan22430221.88