Color Image Steganalysis Algorithm Based on Adversarial Mechanisms
[1]ZHANG Tao,GE Yuwei,HAN Xu,et al.Color Image Steganalysis Algorithm Based on Adversarial Mechanisms[J].Journal of Zhengzhou University (Engineering Science),2023,44(04):10-15.[doi:10.13705/j.issn.1671-6833.2023.04.013]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
44卷
Number of periods:
2023 04
Page number:
10-15
Column:
Public date:
2023-06-01
- Title:
- Color Image Steganalysis Algorithm Based on Adversarial Mechanisms
- Keywords:
- information hidding; steganalysis; deep learning; multiple activation modules; adversarial mechanisms
- CLC:
- TP391；TN915.08；O235
- DOI:
- 10.13705/j.issn.1671-6833.2023.04.013
- Abstract:
- Aiming at the steganalysis of color images, a deep convolutional network applied to the steganalysis of color images is proposed by introducing channel-wise convolution, multiple activation module and adversarial mechanism. Channel-wise convolution can avoid weakening irrelevant noise signals and retain additional steganographic embedded features; multiple activation modules use various activation functions to nonlinearly map convolution results and make different feedback for embedded traces to enrich the diverse expressions of embedded features; adversarial mechanisms can divide content information features and steganographic embedding features from domain categories, thereby separating additional steganographic existence features. Experiments are carried out on the PPG-LIRMM-COLOR dataset for various steganographic algorithms. The proposed algorithm is 1. 83% - 4. 99% higher performance than the best performance in the control methods. Results verify the effectiveness of the proposed color image steganalysis method.
- References:
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Last Update:
2023-06-30