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Three-Dimensional Mesh Steganography and Steganalysis: A Review
IEEE Transactions on Visualization and Computer Graphics
|April 22, 2021
Summary
This survey systematically reviews 3-D mesh steganography and steganalysis techniques. It introduces a new taxonomy for steganographic algorithms and categorizes steganalysis methods, highlighting future research directions.
Area of Science:
- Computer Science
- Digital Forensics
- Information Security
Background:
- Three-dimensional (3-D) meshes are crucial for representing virtual surfaces and volumes across various industries.
- The practical significance of 3-D meshes has grown, particularly in applications involving data hiding (steganography) and detection (steganalysis).
Purpose of the Study:
- To provide a comprehensive and systematic survey of the existing literature on 3-D mesh steganography and steganalysis.
- To propose a novel taxonomy for classifying steganographic algorithms applied to 3-D meshes.
- To categorize steganalysis algorithms for 3-D meshes and discuss their evolution.
Main Methods:
- A systematic literature review was conducted on 3-D mesh steganography and steganalysis.
- A new taxonomy for steganographic algorithms was proposed, categorizing them into four domains: two-state, LSB, permutation, and transform.
- Steganalysis algorithms were classified into two main categories: universal and specific.
Main Results:
- The survey presents a structured overview of technical developments and current capabilities in 3-D mesh steganography.
- A detailed discussion of universal and specific steganalysis techniques for 3-D meshes is provided.
- The study identifies and discusses emerging trends and challenges in the field.
Conclusions:
- The proposed taxonomy offers a refined framework for understanding 3-D mesh steganography.
- The survey highlights the need for continued research to enhance the performance and robustness of 3-D mesh steganography and steganalysis techniques.
- Future research should focus on addressing identified challenges to advance the state-of-the-art in 3-D mesh data security.
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