From: raphael couturier Date: Tue, 24 Feb 2015 18:16:42 +0000 (+0100) Subject: j'ai rajouté une figure avec l'erreur, la valeur du milieu est interpolée :-) X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/commitdiff_plain/ff62ab9a78e83759f5e40e3b7d422fddeb45115d?ds=inline;hp=-c j'ai rajouté une figure avec l'erreur, la valeur du milieu est interpolée :-) Sinon JEF il manque le style de la biblio dans git. --- ff62ab9a78e83759f5e40e3b7d422fddeb45115d diff --git a/error.pdf b/error.pdf new file mode 100644 index 0000000..9af3ad2 Binary files /dev/null and b/error.pdf differ diff --git a/error.plot b/error.plot new file mode 100755 index 0000000..124acf2 --- /dev/null +++ b/error.plot @@ -0,0 +1,16 @@ +# Analysis description +set encoding iso_8859_1 +set terminal x11 +set size 1,0.5 +set term postscript enhanced portrait "Helvetica" 12 +set ylabel "Average testing error" +set xlabel "Payload" +set key on inside bottom left +plot 'error.txt' using 1:2 t "STABYLO" with linespoints lt 1 lw 2 ps 0 pt 5,\ + 'error.txt' using 1:3 t "HUGO" with linespoints lt 1 lw 2 ps 1 pt 2,\ + 'error.txt' using 1:4 t "EAISLSBMR" with linespoints lt 3 lw 2 ps 0 pt 1,\ + 'error.txt' using 1:5 t "WOW" with linespoints lt 1 lw 2 ps 1 pt 1,\ + 'error.txt' using 1:6 t "UNIWARD" with linespoints lt 5 lw 2 ps 0 pt 1 + + + diff --git a/error.txt b/error.txt new file mode 100644 index 0000000..cbe050d --- /dev/null +++ b/error.txt @@ -0,0 +1,4 @@ +# stabylo hugo adapt edge wow uniward +0.0635 0.47 0.4920 0.47 0.4911 0.49 +0.1213 0.42 0.482 0.435 0.482 0.47 +0.2924 0.24 0.4345 0.30 0.4333 0.39 diff --git a/experiments.tex b/experiments.tex index 61d2971..6d65b81 100644 --- a/experiments.tex +++ b/experiments.tex @@ -216,3 +216,13 @@ However due to its huge number of integration features, it is not lightweight. All these numerical experiments confirm the objective presented in the motivations: providing an efficient steganography approach in a lightweight manner. + +\RC{In Figure~\ref{fig:error}, Ensemble Classifier has been used with all the previsou steganalizers with 3 different payloads. It can be observed that with important payload, STABYLO is not efficient, but as mentionned its complexity is far more simple compared to other tools.\\ +\begin{figure} +\begin{center} +\includegraphics[scale=0.5]{error} +\end{center} +\caption{Error obtained by Ensemble classifier with WOW/UNIWARD, HUGO, and STABYLO and different paylaods.} +\label{fig:error} +\end{figure} +} diff --git a/main.tex b/main.tex index 781cd3e..0528ede 100755 --- a/main.tex +++ b/main.tex @@ -59,8 +59,8 @@ Adaptive, Bbs, and binarY embedding at LOw cost} \newcommand{\JFC}[1]{\begin{color}{green}\textit{#1}\end{color}} -\newcommand{\RC}[1]{\begin{color}{red}\textit{}\end{color}} -\newcommand{\CG}[1]{\begin{color}{blue}\textit{}\end{color}} +\newcommand{\RC}[1]{\begin{color}{red}\textit{#1}\end{color}} +\newcommand{\CG}[1]{\begin{color}{blue}\textit{#1}\end{color}} % make the title area