Comprehensive survey of 3D image steganography techniques

A Girdhar, V Kumar - IET Image Processing, 2018 - Wiley Online Library
This study presents an overview of various three‐dimensional (3D) image steganography
techniques from survey point of view. The authors present taxonomy of 3D image …

Three-dimensional mesh steganography and steganalysis: a review

H Zhou, W Zhang, K Chen, W Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Digital image steganalysis: current methodologies and future challenges

WM Eid, SS Alotaibi, HM Alqahtani, SQ Saleh - Ieee Access, 2022 - ieeexplore.ieee.org
With the growing use of the internet and social media, data security has become a major
issue. Thus, researchers are focusing on data security techniques such as steganography …

Steganalysis of 3D objects using statistics of local feature sets

Z Li, AG Bors - Information Sciences, 2017 - Elsevier
Abstract 3D steganalysis aims to identify subtle invisible changes produced in graphical
objects through digital watermarking or steganography. Sets of statistical representations of …

Steganalysis of meshes based on 3D wavelet multiresolution analysis

Z Li, AG Bors - Information sciences, 2020 - Elsevier
Abstract 3D steganalysis aims to find the information hidden in 3D models and graphical
objects. It is assumed that the information was hidden by 3D steganography or watermarking …

Selection of robust and relevant features for 3-D steganalysis

Z Li, AG Bors - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
While 3-D steganography and digital watermarking represent methods for embedding
information into 3-D objects, 3-D steganalysis aims to find the hidden information. Previous …

Rethinking the high capacity 3D steganography: Increasing its resistance to steganalysis

Z Li, S Beugnon, W Puech… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
3D steganography is used in order to embed or hide information into 3D objects without
causing visible or machine detectable modifications. In this paper we rethink about a high …

A k nearest neighbours classifiers ensemble based on extended neighbourhood rule and features subsets

A Ali, M Hamraz, N Gul, DM Khan, Z Khan… - arXiv preprint arXiv …, 2022 - arxiv.org
kNN based ensemble methods minimise the effect of outliers by identifying a set of data
points in the given feature space that are nearest to an unseen observation in order to …

3D steganalysis using the extended local feature set

Z Li, D Gong, F Liu, AG Bors - 2018 25th IEEE International …, 2018 - ieeexplore.ieee.org
3D steganalysis aims to find the changes embedded through steganographic or information
hiding algorithms into 3D models. This research study proposes to use new 3D features …

[PDF][PDF] Image steganalysis feature selection based on the improved Fisher criterion

Y Ma, J Wang, X Luo, Z Li, C Yang, J Chen - Math Biosci Eng, 2020 - aimspress.com
In order to improve the detection accuracy of hidden message in images, steganalysis
features are selected as inputs for steganalysers. However, the existing Fisher criterion …