High Secure Encryption and Masking Technique for 3D Point Cloud Models

Abstract

Robust reversible data masking (RRDM) mechanism for encrypted 3D point cloud model is a method that protect copyright information and privacy of data sharing in cloud environment. Generally, the organs, medical equipment, and building are built using 3D point cloud models. A 3D point cloud model shared through internet can be manipulated easily by unlicensed users; thus for protecting and providing security for 3D point cloud models, robust reversible data masking mechanism using homomorphic encryption (HE) is needed. This paper preset High Secure Encryption and Masking (HSEM) for 3D point cloud models. The HSEM first maps the vertex coordinates into bit-stream representation. Then, compute prediction errors for the vertices of the “embedded” set and perform encryption of bit-stream representation of 3D mesh model using robust homomorphic encryption (RHE). Using data hiding keys, several least significant bits (LSBs) are identified for masking information. Using encryption (i.e., private key) user can reconstruct the mesh using spatial correlation of 3D point cloud models. Experiment outcome shows the HSEM achieves high masking capacity with reduced reconstruction error and high quality 3D mesh model reconstruction in comparison with other recent data masking methods.