Kinzeryavyy O. Steganographic methods of hiding data in vector images that are resisted to active attacks based on affine transformations

Dissertation is devoted to solve the actual scientific task of developing new steganographic methods for hiding information in vector images to increase resistance to active attacks, based on affine transformations. It was defined the set of parameters of hiding data in vectors images, which formalize requirements for choosing container and influence for the process of embedding/extracting of information. It is developed the method of bitwise information hiding in point-set curves vector images, which, by breaking curves into the aggregate segments with fixed step of change the parameter of curves construction, allows to embed one bit of the secret message per one division of the curve, while providing resistance to affine transformations. Also, it is developed the method of template information hiding in a point-set curves of vector images, which, due to the correlation table of values of template element with different steps of the curve construction parameter, allows embedding a block of data for a single division of the curve, thus providing resistance to affine transformations. The new steganographic algorithms StegoBIT and StegoTEMPL, which allow hiding information in Bezier curves of the third degree, while providing resistance to affine transformations, are developed on the basis of the proposed methods. The software that can be used to improve the stenographic information security is developed on the basis of the proposed algorithms.