-The STABYLO algorithm, whose acronym means STeganography
-with cAnny, Bbs, binarY embedding at LOw cost, has been introduced
-in this document as an efficient method having comparable, though
-somewhat smaller, security than the well known
-Highly Undetectable steGO (HUGO) steganographic scheme.
-This edge-based steganographic approach embeds a Canny
-detection filter, the Blum-Blum-Shub cryptographically secure
-pseudorandom number generator, together with Syndrome-Treillis Codes
-for minimizing distortion.
-After having introduced with details the proposed method,
-we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M,
-BIQI, and weighted PSNR) and using well established steganalysers.
-
-For future work, the authors' intention is to investigate systematically
-all the existing edge detection methods, to see if the STABYLO evaluation scores can
-be improved by replacing Canny with another edge filter. We will try
-to take into account the least significant bits too during all the
-stages of the algorithm, hoping by doing so to be closer to the HUGO scores against
-steganalyzers. Other steganalyzers than the ones used in this document will be
-examined for the sake of completeness. Finally, the
-systematic replacement of all the LSBs of edges by binary digits provided
-by the BBS generator will be investigated, and the consequences of such a
-replacement, in terms of security, will be discussed.
+\section{First Stage: Genomes as Lists of Homologous Classes}
+
+\section{Second Stage: to Find Closed Genomes}
+
+\section{Third Stage: Reconstruction of Ancestral Synteny Blocs for the two Closest Genomes}
+
+\section{Fourth Stage: Filling holes in the Obtained Ancestral Genome}
+
+\section{Last Stage: to Reproduce the Process until Obtaining the Last Common Ancestor of the given set of Genomes}
+
+\section{Conclusion}\label{sec:concl}