STATISTICAL STEGANALYSIS OF IMAGES SOURCES, BASED ON OPAQUE SEPARATE IMAGES STEGANALYSIS TECHNIQUE
Paper is devoted to steganalysis accuracy in case of low relative embedding rates. Its main idea is to consider not single images, but sets of related images, e.g. images, received from the single source. Images source is identified with the appropriate set of images. For instance, E-Mail address of sender of all images in the set, can be thought of as a source. Similarly, account in photo sharing network, in behalf of which all the images in the set were shared, is another example of images source. Steganalysis technique for images sources is proposed. The technique is based on uniting results of analyses of single images from source's set. Analyses of single images is considered to be held by some unknown opaque algorithm, with only statistical accuracy characteristics known. The proposed sources steganalysis aims to classify appropriate images sets into sets with and without steganographically processed images. It is shown, that proposed technique's classification accuracy is in some cases much higher then the accuracy of classification of single images by the base opaque algorithm.