A New Transformation of 3D Models Using Chaotic Encryption Based on Arnold Cat Map

Abstract

In the emerging Virtual Reality era, 3D multimedia contents are popularized as images and videos. Encryption is a methodology that enhances the security by converting the original content into unintelligible content. The Arnold transform or Arnold cat map is a commonly used chaos-based encryption system that encrypts by shuffling the data. 3D models include vertices, faces and textures. An efficient secure symmetric chaotic cryptosystem is proposed for 3D mesh graphical models using 3D Arnold cat map. Arnold cat map is performed to encrypt the 3D mesh model using shuffling and substitution. The cryptosystem is proposed for vertices and faces separately and are composited together to form the final encrypted model. Each round introduces a good permutation and substitution through the confusion and diffusion generated by the 3D Arnold map. The chaotic function delivers more security for the 3D models through the shuffling and substitution. Simulation results show that the proposed scheme encrypts and decrypts the 3D mesh models and resists various attacks.