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29 \hyphenation{op-tical net-works semi-conduc-tor}
36 Adaptive, Bbs, and binarY embedding at LOw cost}
38 \author{Jean-Fran\c cois Couchot, Raphael Couturier, and Christophe Guyeux\thanks{Authors in alphabetic order}}
41 \institute{ Jean-Fran\c cois Couchot, Raphael Couturier, and Christophe Guyeux \at
42 FEMTO-ST Institute, UMR 6174 CNRS\\
43 Computer Science Laboratory DISC,
44 University of Franche-Comt\'{e},
46 \email{\{jean-francois.couchot, raphael.couturier, christophe.guyeux\}@univ-fcomte.fr}
50 \date{Received: date / Accepted: date}
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68 %IEEEtran, journal, \LaTeX, paper, template.
69 \keywords{Steganography, least-significant-bit (LSB)-based steganography, edge detection, Canny filter, security, syndrome trellis codes}
83 A new steganographic method called STABYLO is introduced in
85 Its main advantage is to be much lighter than the so-called
86 HUGO, WOW, and UNIWARD schemes, the state of the art
87 steganographic processes.
88 % Additionally to this effectiveness,
89 % quite comparable results through noise measures like PSNR-HVS-M
90 % and weighted PSNR (wPSNR) are obtained.
91 To achieve the proposed goal, famous experimented
92 components of signal processing,
93 coding theory, and cryptography are combined together, leading to
94 a scheme that can reasonably face up-to-date steganalysers.
102 \section{Introduction}\label{sec:intro}
106 \section{Presentation of the Proposed Approach}\label{sec:ourapproach}
107 \input{ourapproach.tex}
110 \section{Complexity Analysis}\label{sub:complexity}
113 \section{Experiments}\label{sec:experiments}
117 \section{Conclusion}\label{sec:concl}
119 The STABYLO algorithm, whose acronym means STeganography with
120 Adaptive, Bbs, and binarY embedding at LOw cost, has been introduced
121 in this document as an efficient method having comparable, though
122 somewhat smaller, security than well-known
123 steganographic schemes
124 HUGO, WOW, and UNIWARD.
125 This edge-based steganographic approach embeds a Canny
126 detection filter, the secure Blum-Blum-Shub cryptosystem
127 with its pseudorandom number generator,
128 together with Syndrome-Trellis Codes
129 for minimizing distortion.
130 The complexity study of our proposed method and of the
131 state of the art steganographic tools has shown that our approach
132 has the lowest computation cost among all.
133 This justifies the lightweight attribute of our scheme.
134 The evaluation of introduced noise and of
136 % (namely, the PSNR, PSNR-HVS-M, and weighted PSNR), and of
137 its embedding through stegenalysers (namely Ensemble Classifier)
138 have shown that STABYLO is efficient enough to
139 produce qualitative images and
140 to face steganalysers.
145 % Of course, other detectors like the fuzzy edge methods
146 % deserve much further attention, which is why we intend
147 % to investigate systematically all of these detectors in our next work.
150 For future work, the authors' intention is to investigate systematically
151 all the existing edge detection methods,
152 to see if the STABYLO evaluation scores can
153 be improved by replacing Canny with another edge filter.
154 Moreover, we plan to improve the distortion function by integrating
155 into a numerical cost the gradient value of this kind of
156 algorithm. We could thus transmit this value to STC contrary to the current
157 version where the distortion that is transmited is either 1 in
158 the adaptive strategy or 1,10, 100 in the fixed strategy.
160 Other steganalysers than the ones used in this document will be
161 examined for the sake of completeness. Finally, the
162 systematic replacement of all the LSBs of edges by binary digits provided
163 by the BBS generator will be investigated, and the consequences of such a
164 replacement, in terms of security, will be discussed.
165 Furthermore, we plan to investigate information hiding on other models, such as high frequency for JPEG encoding.
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