Improving LSB Steganalysis using marginal and joint probabilistic distributions
Résumé
The goal of steganalysis is to search for the presence of hid- den information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images that estimates the size of the hidden message. The accuracy of this algorithm is first outlined, then the lim- its are presented in order to introduce some solutions based on texture processing: analysis of histograms and coocur- rence matrices are presented and their uses, to improve ste- ganalysis using segmentation, is proposed1 .
Origine | Fichiers produits par l'(les) auteur(s) |
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