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A machine learning approach based on alpha-trimmed mean feature preprocessing is introduced to determine whether secret messages are hidden within JPEG images. This paper also integrates a multi-preprocessing sequence to develop the classification system which contains features generated from an image dataset including steganographic and clean images, feature ranking and selection, feature extraction,...
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