A High Capacity Geometrical Domain Based 3D Image Steganography Scheme

As a result of the tremendous advances in digital communications and media, 3D models have become the core of various applications in diverse fields. Consequently, these models can be utilized in steganography acting as secure and innocent host media for sheltering covert data. In this paper, Blowfish encryption algorithm is performed on the secret data for a higher security level. Then, a geometrical domain based steganography method is implemented, where the polygons of triangular meshes of various Stanford 3D models are slightly modified so that they hold the secret data. The proposed method is found robust against geometrical attacks on 3D models such as rotation, uniform scaling and translation. Furthermore, it has the capability to reveal the secret data blindly. The performance of this proposed algorithm is measured and compared to its counterparts from the literature. The numerical results are a superb indicator for a reliable high capacity message security scheme.