A Preprocessing by Using Multiple Steganography for Intentional Image Downsampling on CNN-Based Steganalysis
There exists a need of “image steganalysis” which reveals whether steganographic signals are embedded in an image to improve information security. Among various steganalysis, Convolutional Neural Networks (CNN) based steganalysis is promising since it can automatically learn th...
Main Authors: | Hiroya Kato, Kyohei Osuge, Shuichiro Haruta, Iwao Sasase |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9239961/ |
Similar Items
-
ADAPTIVE CROSSING NUMBERS AND THEIR APPLICATION TO BINARY DOWNSAMPLING
by: Etienne Decencière, et al.
Published: (2011-05-01) -
CNN-Based Ternary Classification for Image Steganalysis
by: Sanghoon Kang, et al.
Published: (2019-10-01) -
Deep Learning Applied to Steganalysis of Digital Images: A Systematic Review
by: Tabares-Soto Reinel, et al.
Published: (2019-01-01) -
A convolutional neural network-based linguistic steganalysis for synonym substitution steganography
by: Lingyun Xiang, et al.
Published: (2020-01-01) -
Sensitivity of deep learning applied to spatial image steganalysis
by: Reinel Tabares-Soto, et al.
Published: (2021-08-01)