Random Reversible Matrix based Point Cloud Encryption

Authors

Zhaoxing Wu, Beijing Electronic Science and Technology Institute, Beijing 100070, China;
Jin Xin, Beijing Electronic Science and Technology Institute, Beijing 100070, China;
Chenggen Song, Beijing Electronic Science and Technology Institute, Beijing 100070, China;
Chunwei Zhang, Beijing Electronic Science and Technology Institute, Beijing 100070, China;
Xiaodong Li, Beijing Electronic Science and Technology Institute, Beijing 100070, China;

Abstract

Abstract: Paying less attention to the privacy protection in the 3D model, an encryption scheme based on chaotic map of 3D point cloud model was proposed, which realized the encryption of 3D point cloud, that used chaotic maps to generate a 3×3 random reversible matrix and a 3×1 translation vector, used the above random reversible matrix and the translation vector can transform each point of the point cloud to a homogeneous coordinate. After a lot of tests on different 3D point cloud models were carried out, the test results show that each point cloud model can be correctly encrypted and encrypted. In addition, the results of encryption was evaluated by the view feature histogram (VFH). Evaluation results show talmost no recognition of the encrypted 3D point cloud.

Recommended Citation

Wu, Zhaoxing; Xin, Jin; Song, Chenggen; Zhang, Chunwei; and Li, Xiaodong (2020) "Random Reversible Matrix based Point Cloud Encryption," Journal of System Simulation: Vol. 28: Iss. 10, Article 23.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/23

First Page

2455

Revised Date

2016-07-11

DOI Link

https://doi.org/

Last Page

2459

CLC

TP391

Recommended Citation

Wu Zhaoxing, Jin Xin, Song Chenggen, Zhang Chunwei, Li Xiaodong. Random Reversible Matrix based Point Cloud Encryption[J]. Journal of System Simulation, 2016, 28(10): 2455-2459.