Advantages of Using Feature Selection Techniques on Steganalysis Schemes

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.

• Type: Conference
• Year: 2007
• Where: IWANN
• Authors: Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula
• Keywords: IWANN 2007, Main Goals, Original 193 Features, Steganalysis