3D textured model encryption via 3D Lu chaotic mapping

Xin JIN1, Shuyun ZHU1,3, Chaoen XIAO2, Hongbo SUN1,Xiaodong LI1*, Geng ZHAO1& Shiming GE4

1Department of Computer Science and Technology,

Beijing Electronic Science and Technology Institute, Beijing 100070, China;

2Department of Electronic Information Engineering,

Beijing Electronic Science and Technology Institute, Beijing 100070, China;

3Xidian University, Xi’an 710071, China;

4Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China


    In the emerging Virtual/Augmented Reality (VR/AR) era, three dimensional (3D) content will be popularized just as images and videos today. The security and privacy of these 3D contents should be taken into consideration. 3D contents contain surface models and solid models. Surface models include point clouds, meshes and textured models. Previous works mainly focused on the encryption of solid models, point clouds and meshes. This work focuses on the most complicated 3D textured model. We propose a 3D Lu chaotic mapping based encryption method for 3D textured models. We encrypt the vertices, polygons, and textures of 3D models separately using the 3D Lu chaotic mapping. Then the encrypted vertices, polygons and textures are composited together to form the final encrypted 3D textured model. The experimental results reveal that our method can encrypt and decrypt 3D textured models correctly. Furthermore, typical statistic and brute-force attacks can be resisted by the proposed method.



Proposed method for 3D textured model encryption.


Simulation results. We test our method on 3D models with various contents.  

Paper and Slides



  author    = {Xin Jin and
               Shuyun Zhu and
               Chaoen Xiao and
               Hongbo Sun and
               Xiaodong Li and
               Geng Zhao and
               Shiming Ge},
  title     = {3D Textured Model Encryption via 3D Lu Chaotic Mapping},
  journal   = {CoRR},
  volume    = {abs/1709.08364},
  year      = {2017},
  url       = {http://arxiv.org/abs/1709.08364},
  timestamp = {Thu, 05 Oct 2017 09:42:50 +0200},
  biburl    = {http://dblp.org/rec/bib/journals/corr/abs-1709-08364},
  bibsource = {dblp computer science bibliography, http://dblp.org}


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