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Statistical steganalyis of images using open source software
2010
2010 IEEE Long Island Systems, Applications and Technology Conference
In this paper we present a novel steganalytic tool based on statistical pattern recognition. The main aim of our project was to design and implement a system able to classify the images into ones with no hidden message and steganographic images using classic pattern classification techniques such as Bayesian classification and decision trees. Experiments are conducted on a large data set of images to determine the classification algorithm that performs better by comparing classification success
doi:10.1109/lisat.2010.5478333
fatcat:dmb3yrkrlfeqnnqizqe2xof64a