1 \documentclass{acm_proc_article-sp}
8 % correct bad hyphenation here
9 \hyphenation{op-tical net-works semi-conduc-tor}
14 a lightweight %stego-secure
15 edge-based steganographic approach}
18 \author{Jean-Fran\c cois Couchot, Raphael Couturier, and Christophe Guyeux*\\
19 FEMTO-ST Institute, UMR 6174 CNRS\\
20 Computer Science Laboratory DISC,
21 University of Franche-Comt\'{e},
22 Besan\c con, France.\\
23 \{jean-francois.couchot, raphael.couturier, christophe.guyeux\}@femto-st.fr\\
24 $*:$ Authors in alphabetic order.\\
26 \newcommand{\JFC}[1]{\begin{color}{green}\textit{}\end{color}}
27 \newcommand{\RC}[1]{\begin{color}{red}\textit{}\end{color}}
28 \newcommand{\CG}[1]{\begin{color}{blue}\textit{}\end{color}}
35 %IEEEtran, journal, \LaTeX, paper, template.
36 \keywords{Steganography, least-significant-bit (LSB)-based steganography, edge detection, Canny filter, security, syndrome treillis code}
41 A novel steganographic method called STABYLO is introduced in this research work.
42 Its main avantage for being is to be much lighter than the so-called
43 Highly Undetectable steGO (HUGO) method, a well known state of the art
44 steganographic process. Additionally to this effectiveness,
45 quite comparable results through noise measures like PSNR-HVS-M,
46 BIQI, and weighted PSNR (wPSNR) are obtained.
47 To achieve the proposed goal, famous experimented components of signal processing,
48 coding theory, and cryptography are combined together, leading to
49 a scheme that can reasonably face up-to-date steganalysers.
59 \section{Introduction}\label{sec:intro}
63 \section{Presentation of the Proposed Approach}\label{sec:ourapproach}
64 \input{ourapproach.tex}
66 \section{Experiments}\label{sec:experiments}
70 \section{Conclusion}\label{sec:concl}
72 The STABYLO algorithm, whose acronym means STeganography
73 with cAnny, Bbs, binarY embedding at LOw cost, has been introduced
74 in this document as an efficient method having comparable, though
75 somewhat smaller, security than the well known
76 Highly Undetectable steGO (HUGO) steganographic scheme.
77 This edge-based steganographic approach embeds a Canny
78 detection filter, the Blum-Blum-Shub cryptographically secure
79 pseudorandom number generator, together with Syndrome-Treillis Codes
80 for minimizing distortion.
81 After having introduced with details the proposed method,
82 we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M,
83 BIQI, and weighted PSNR) and using well established steganalysers.
85 For future work, the authors' intention is to investigate systematically
86 all the existing edge detection methods, to see if the STABYLO evaluation scores can
87 be improved by replacing Canny with another edge filter. We will try
88 to take into account the least significant bits too during all the
89 stages of the algorithm, hoping by doing so to be closer to the HUGO scores against
90 steganalyzers. Other steganalyzers than the ones used in this document will be
91 examined for the sake of completeness. Finally, the
92 systematic replacement of all the LSBs of edges by binary digits provided
93 by the BBS generator will be investigated, and the consequences of such a
94 replacement, in terms of security, will be discussed.
97 \bibliographystyle{plain}