4.7 Review

Three-Dimensional Mesh Steganography and Steganalysis: A Review

Journal

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2021.3075136

Keywords

Faces; Measurement; Robustness; Geometry; Transforms; Systematics; Standards; 3-D; polygonal mesh; information hiding; steganography; steganalysis; survey; review

Funding

  1. Natural Science Foundation of China [62002334, 62072421]
  2. Anhui Science Foundation of China [2008085QF296]
  3. Anhui Initiative in Quantum Information Technologies [AHY150400]
  4. Fundamental Research Funds for the Central Universities [WK2100000018]

Ask authors/readers for more resources

This article provides a systematic survey of the literature on 3-D mesh steganography and steganalysis, proposing a new taxonomy for steganographic algorithms and discussing the history and current level of technical developments. Furthermore, it highlights promising future research directions and challenges in improving the performance of 3-D mesh steganography and steganalysis.
Three-dimensional (3-D) meshes are commonly used to represent virtual surfaces and volumes. Over the past decade, 3-D meshes have emerged in industrial, medical, and entertainment applications, being of large practical significance for 3-D mesh steganography and steganalysis. In this article, we provide a systematic survey of the literature on 3-D mesh steganography and steganalysis. Compared with an earlier survey (Girdhar et al., 2017), we propose a new taxonomy of steganographic algorithms with four categories: 1) two-state domain, 2) LSB domain, 3) permutation domain, and 4) transform domain. Regarding steganalysis algorithms, we divide them into two categories: 1) universal steganalysis and 2) specific steganalysis. For each category, the history of technical developments and the current technological level are introduced and discussed. Finally, we highlight some promising future research directions and challenges in improving the performance of 3-D mesh steganography and steganalysis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available