Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images

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Adversarial Feature Selection Against Evasion Attacks (2016, background): “in bioinformatics [37], [46], image steganalysis [47], [48], network intrusion detection [49], camera source model identification [50], and spam detection [16], [51].”
An improved approach to steganalysis of JPEG images (2010, methodology): “These images are first cropped into 256 256 pixels according to the method of [15,16,19,21], in order to remove the low complexity parts (all original uncompressed images are available at http://www.”
Steganalysis of LSB matching using differences between nonadjacent pixels (2016, background): “[20] measured the correlation in the least and second least significant bit plane of the image as features.”
Feature Mining for Hyperspectral Image Classification (2013, background): “The whole process can be termed as feature mining (FM) [23], [24], whose goal is to find the effective features for a given application.”