Details

Autor(en) / Beteiligte

• Jia, Chaochuan
• Yang, Ting
• Wang, Chuanjiang
• Fan, Binghui
• He, Fugui

Titel

Encryption of 3D Point Cloud Using Chaotic Cat Mapping

Ist Teil von

• 3D research, 2019-03, Vol.10 (1), p.1-13, Article 4

Ort / Verlag

Seoul: 3D Display Research Center

Erscheinungsjahr

2019

Quelle

Springer Nature - Complete Springer Journals

Beschreibungen/Notizen

• 3D point clouds, a new primitive representation for objects, are spreading among thousands of people through internet software. Thus, the privacy preserving problem of the 3D point cloud should be widely concerned by more and more people. To ensure the safe transmission and use of point cloud, two schemes of encryption have been proposed by using chaotic cat mapping in this paper. The two encryption schemes are tested by using various types of 3D point clouds. In addition, these proposed encryption algorithms are analyzed through key space, sensibility, statistical and encryption time analysis. These analysis results show that the two proposed schemes can resist the common existing cipher attacks and are effective encryption methods for 3D point cloud encryption. At the same time, the two promising encryption algorithms can guarantee the security of the 3D point cloud model transmitted on the Internet. Graphical Abstract