digital image steganalysis

Today, it is often necessary to transmit a confidential message of a small volume, while the use of complex cryptographic systems is difficult for some reasons. One of these reasons is the impossibility of using reliable products, which, as a rule, are commercial and unavailable to the average computer user. In modern information society, many services are provided with the help of computer networks and information technologies.

Methods for early detection of sensitive information leakage by data transmission in open (public) communication systems have been of special interest. Reliable detection of modified (stego) cover files, like digital images, requires usage of computation-intensive methods of statistical steganalysis, namely covering rich models and deep convolutional neural networks. Necessity of fine-tuning parameters of such methods to minimize detection accuracy for each embedding methods has made fast re-train of stegdetectors in real cases impossible.