ABSTRACT3D steganography is used in order to embed or hide information into 3D objects without causing visible or machine detectable modifications. In this paper we rethink about a high capacity 3D steganography based on the Hamiltonian path quantization, and increase its resistance to steganalysis. We analyze the parameters that may influence the distortion of a 3D shape as well as the resistance of the steganography to 3D steganalysis. According to the experimental results, the proposed high capacity 3D steganographic method has an increased resistance to steganalysis.
Unlike full encryption methods, for which the encryption does not preserve the internal structure of files, this paper presents an efficient format compliant selective encryption method for 3D object binary formats. The method encrypts selected bits of the 3D object geometry to visually protect the content without increasing the file size. Geometrical distortions are created in order to partially or fully protect the content, but they do not corrupt 3D scenes for preview purposes. As a function of the degradation level, we can obtain security from visual confidentiality to transparent encryption passing through sufficient encryption providing solutions for different application scenarios. Experimental results and analysis show the efficiency of the proposed method.
This paper presents a new method of Secret 3D Object Sharing (S3DOS) which allows sharing of 3D objects whilst preserving its file format by selectively encrypting a 3D object in order to sufficiently protect the visual nature of the content. This scheme, named Format-Compliant Selective (k, n) Secret 3D Object Sharing (FCSS3DOS), modifies selected bits of the vertices of a 3D object to protect visual content by inducing geometrical distortions. These distortions are controlled thanks to the application of a degradation level at the beginning of the sharing process. To reconstruct the secret 3D object, at least k shared 3D objects among n have to be combined in order to remove the geometrical distortions and recover the exact original 3D object. Experimental results are presented and evaluated to showcase the feasibility of the proposed scheme.
Visual Secret Sharing (VSS) is a type of cryptographic method used to secure digital media such as images by splitting it into n shares. Then, with k or more shares, the secret media can be reconstructed. Without the required number of shares, they are totally useless individually. The purpose of secret sharing methods is to reinforce the cryptographic approach from different points of failure as a single information-container. Instead of Lagrange's interpolation employed by classical methods, an approach based on linear equations and coding theory resolves the classic problems of VSS methods like pixel expansion and information losses at recovery time. In this paper, we propose an efficient (2, n) secret image sharing scheme without loss of information and size increase of shares, with n ≤ 7 based on linear equations encoded into eight bits to encode separately pixels and permutations to maintain high entropy in shares.
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