Research Article
A Multi-carrier Information Hiding Algorithm Based on Layered Compression of 3D Point Cloud Model
@INPROCEEDINGS{10.1007/978-3-031-56580-9_8, author={Shuai Ren and Yuxiao Li and Bo Li and Hao Gong and Qiuyu Feng}, title={A Multi-carrier Information Hiding Algorithm Based on Layered Compression of 3D Point Cloud Model}, proceedings={Digital Forensics and Cyber Crime. 14th EAI International Conference, ICDF2C 2023, New York City, NY, USA, November 30, 2023, Proceedings, Part I}, proceedings_a={ICDF2C}, year={2024}, month={4}, keywords={Information hiding Multi carrier Carrier classification Hierarchical compression Feature extraction}, doi={10.1007/978-3-031-56580-9_8} }- Shuai Ren
Yuxiao Li
Bo Li
Hao Gong
Qiuyu Feng
Year: 2024
A Multi-carrier Information Hiding Algorithm Based on Layered Compression of 3D Point Cloud Model
ICDF2C
Springer
DOI: 10.1007/978-3-031-56580-9_8
Abstract
Aiming at the problem that most of the information embedding carriers of existing information hiding technologies are two-dimensional images, and most of them are single carriers with limited embedding information capacity, a multi-carrier information hiding algorithm based on hierarchical compression of 3D point cloud model is proposed. Firstly, the 3D model is pre-standardized, the minimum bounding box of the model is generated, and the slice of the model is stratified. Secondly, the ratio of projected area between each layer region and the minimum bounding box is used as the weight of each layer region and the model feature vector, and the carrier set is classified by calculating the similarity of each model feature vector. Finally, each layer area is compressed according to the secret information to complete the secret information hiding. The experimental results show that, compared with the comparison algorithm, the proposed algorithm is robust while maintaining invisibility in the face of a single attack.
