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Avantages de la Sélection de Caractéristiques pour la Stéganalyse

Abstract : Steganalysis consists in classifying documents as steganographied or genuine. This paper presents a methodology for steganalysis based on a set of 193 features, with two main goals: determine a sufficient number of images for effective training of a classifier in the obtained high-dimensional space, and use feature selection to select most relevant features for the desired classification. Dimensionality reduction is performed using a forward selection and reduces the original 193 features set by a factor of 13, with overall same performance.
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Submitted on : Wednesday, August 8, 2007 - 2:46:32 PM
Last modification on : Tuesday, October 19, 2021 - 11:22:39 PM
Long-term archiving on: : Thursday, April 8, 2010 - 6:59:35 PM


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  • HAL Id : hal-00166692, version 1


Yoan Miche, Patrick Bas, Amaury Lendasse, Olli Simula, Christian Jutten. Avantages de la Sélection de Caractéristiques pour la Stéganalyse. GRETSI 2007 - XXIème Colloque francophone de traitement du signal et des images, Sep 2007, Troyes, France. pp.electronic version. ⟨hal-00166692⟩



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