High Capacity Reversible Data Hiding in Encrypted 3D mesh models Based on multi-MSB Prediction

@article{Lv2022HighCR,
  title={High Capacity Reversible Data Hiding in Encrypted 3D mesh models Based on multi-MSB Prediction},
  author={Wanli Lv and Lulu Cheng and Zhaoxia Yin},
  journal={ArXiv},
  year={2022},
  volume={abs/2110.01010}
}
—As a new generation of digital media for covert transmission, three-dimension (3D) mesh models are frequently used and distributed on the network. Facing the huge massive of network data, it is urgent to study a method to protect and store this large amounts of data. In this paper, we proposed a high capacity reversible data hiding in encrypted 3D mesh models. This method divides the vertices of all 3D mesh into “embedded sets” and “prediction sets” based on the parity of the index. In… 

References

SHOWING 1-10 OF 33 REFERENCES
Separable Reversible Data Hiding Based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models
Reversible data hiding in encrypted domain (RDH-ED) has received tremendous attention from the research community because data can be embedded into cover media without exposing it to the third party
Reversible Data Hiding in Encrypted Three-Dimensional Mesh Models
TLDR
Experiments show that the proposed RDH-ED scheme for 3D meshes has a high data-embedding payload, maintains high values of the decrypted meshes, and has low computational complexity.
Homomorphic Encryption-Based Reversible Data Hiding for 3D Mesh Models
TLDR
Two homomorphic properties of the underlying cryptosystem are utilized to propose a two-tier RDH-ED framework for end-to-end authentication and cloud data management and the proposed framework is successfully implemented on various simple and dense meshes.
Separable Reversible Data Hiding for Encrypted Three-Dimensional Models Based on Spatial Subdivision and Space Encoding
  • Yuan-Yu Tsai
  • Computer Science
    IEEE Transactions on Multimedia
  • 2021
TLDR
Experimental results indicate that the proposed algorithm enables high privacy, performs separable reversible data hiding, and has low computational complexity, high embedding capacity, and controllable distortion.
Reversible Data Hiding in Encrypted Images Based on Pixel Prediction and Bit-Plane Compression
TLDR
Experimental results show that the embedding capacity of the proposed RDHEI scheme outperforms the state-of-the-art methods.
Recursive Histogram Modification: Establishing Equivalency Between Reversible Data Hiding and Lossless Data Compression
TLDR
It is proved that, for independent identically distributed gray-scale host signals, the proposed method asymptotically approaches the rate-distortion bound of RDH as long as perfect compression can be realized, and establishes the equivalency between reversible data hiding and lossless data compression.
Reversible Data Hiding in Encrypted 2D Vector Graphics Based on Reversible Mapping Model for Real Numbers
TLDR
A reversible mapping model for real numbers is first built and an RDH scheme in encrypted 2D vector graphics is put forward, which provides a new paradigm for RDH in the encrypted domain for the data represented in real numbers.
Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption
TLDR
This paper proposes a novel method by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image.
...
...