Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines

S. Lyu and H. Farid

5th International Workshop on Information Hiding, Noordwijkerhout, The Netherlands, 2002

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Techniques for information hiding have become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become considerably more difficult. This paper describes an approach to detecting hidden messages in images that uses a wavelet-like decomposition to build higher-order statistical models of natural images. Support vector machines are then used to discriminate between untouched and adulterated images.