Abstract
Building efficient data masking of encrypted 3D (Three dimensional) mesh models is considered to be an efficient solution for masking information of 3Dmesh models. First, using the secret key, the original 3D mesh models are encrypted. Second, without procuring any prior information of original 3D mesh models it is conceivable mask information on encrypted 3D mesh models. Third, the original 3D mesh models are reconstructed by extracting masked information. Recently, Data masking for 3D mesh models has attained wide attention across the various research community. This is because of the adoption of cloud computing (CC) platform for storing customer information. Thus, preserving the privacy of customer information is a major research problem. Nonetheless, no prior work permit masking with high capacity in reversible nature. For addressing the research problem, this paper presents an efficient 3D data masking (DM) method that is reversible in nature with a very high masking capacity. Experiment outcome shows the proposed high capacity data masking (HCDM) for 3D mesh model attain better performance in terms of PSNR and RMSE over existing data masking methods.
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