[1]张涛,葛育伟,韩旭,等.基于对抗机制的彩色图像隐写分析算法[J].郑州大学学报(工学版),2023,44(04):10-15.[doi:10.13705/j.issn.1671-6833.2023.04.013]
　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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基于对抗机制的彩色图像隐写分析算法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
44
期数:
2023年04期
页码:
10-15
栏目:
出版日期:
2023-06-01

文章信息/Info

Title:
Color Image Steganalysis Algorithm Based on Adversarial Mechanisms
作者:
张涛1; 葛育伟2; 韩旭2; 张昊1; 汪然1
1.战略支援部队信息工程大学 信息系统工程学院,河南 郑州 450001, 2.苏州大学 计算机科学与技术学院,江苏苏州 215006

Author(s):
ZHANG Tao1;  GE Yuwei2;  HAN Xu2;  ZHANG Hao1;  WANG Ran1
1.School of Information System Engineering, the University of Strategic Support Forces Information Engineering University, 450001, 2.Zhengzhou, Henan, School of Computer Science and Technology, Suzhou University, Suzhou, Jiangsu 215006
关键词:
信息隐藏;  隐写分析;  深度学习;  多激活模块;  对抗机制
Keywords:
information hidding;  steganalysis;  deep learning;  multiple activation modules;  adversarial mechanisms
分类号:
TP391；TN915.08；O235
DOI:
10.13705/j.issn.1671-6833.2023.04.013
文献标志码:
A
摘要:
针对彩色图像的隐写分析问题,引入逐通道卷积、多激活模块以及对抗机制,提出了一种应用于彩色图像 隐写分析的深度卷积网络。 逐通道卷积能够避免削弱不相关噪声信号,保留更多的隐写嵌入特征;多激活模块利 用多种激活函数对卷积结果进行非线性映射,针对嵌入痕迹做出不同反馈,丰富嵌入特征的多样表达;对抗机制能 够将内容信息特征和隐写嵌入特征从域类别上严格划分,从而分离出更多的隐写存在性特征。 在 PPG-LIRMMCOLOR 数据集上针对 多 种 隐 写 算 法 进 行 了 检 测 实 验。 结 果 显 示,所 提 算 法 比 对 照 方 法 中 性 能 最 好 的 还 要 高 1. 83%到 4. 99%。 实验结果验证了该彩色图像隐写分析方法的有效性。
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.

参考文献/References:

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更新日期/Last Update: 2023-06-30