Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
Deep learning for diverse data types steganalysis: A review
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …
Image steganalysis with multi-scale residual network
H Chen, Q Han, Q Li, X Tong - Multimedia Tools and Applications, 2023 - Springer
In recent years, many deep neural network models are used in steganalysis. However, the
deep neural network models on steganalysis usually use the single scale channel for …
deep neural network models on steganalysis usually use the single scale channel for …
Random embedded calibrated statistical blind steganalysis using cross validated support vector machine and support vector machine with particle swarm optimization
The evolvement in digital media and information technology over the past decades have
purveyed the internet to be an effectual medium for the exchange of data and …
purveyed the internet to be an effectual medium for the exchange of data and …
Spatial steganalysis based on non-local block and multi-channel convolutional networks
X Han, T Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Image steganalysis aims to detect whether secret information is hidden in images and is a
means to solve the communication security. Recently, a series of convolutional neural …
means to solve the communication security. Recently, a series of convolutional neural …
Feature passing learning for image steganalysis
J Liu, G Jiao, X Sun - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
Image steganalysis aims to detect whether secret information is hidden in an image. This
technique has critical applications in the field of information security. Most existing methods …
technique has critical applications in the field of information security. Most existing methods …
Image steganalysis based on attention augmented convolution
S Huang, M Zhang, Y Ke, X Bi, Y Kong - Multimedia Tools and …, 2022 - Springer
Steganalysis, as the opposite technique to steganography, has been applied to determine
whether secret information is embedded in an image. The existing adaptive steganography …
whether secret information is embedded in an image. The existing adaptive steganography …
[PDF][PDF] Enhanced Steganalysis for Color Images Using Curvelet Features and Support VectorMachine.
Algorithms for steganography are methods of hiding data transfers in media files. Several
machine learning architectures have been presented recently to improve stego image …
machine learning architectures have been presented recently to improve stego image …
StegGAN: hiding image within image using conditional generative adversarial networks
Steganography is the art of hiding a secret message in another innocuous-looking image (or
any digital media). Statistical imperceptibility is one of the major concerns for conventional …
any digital media). Statistical imperceptibility is one of the major concerns for conventional …
Digital image steganalysis using entropy driven deep neural network
Context-aware steganography techniques are quite popular due to their robustness.
However, steganography techniques are misused to hide inappropriate information in some …
However, steganography techniques are misused to hide inappropriate information in some …