深度学习空域隐写分析的预处理层

doi:10.3969/j.issn.0255-8297.2018.02.010

应用科学学报 ›› 2018, Vol. 36 ›› Issue (2): 309-320.doi: 10.3969/j.issn.0255-8297.2018.02.010

深度学习空域隐写分析的预处理层

史晓裕^1,3, 李斌^1,3, 谭舜泉^2,3

1. 深圳大学信息工程学院, 广东深圳 518060;
2. 深圳大学计算机与科学学院, 广东深圳 518060;
3. 深圳大学深圳市媒体内容安全重点实验室, 广东深圳 518060

收稿日期:2018-01-25 出版日期:2018-03-31 发布日期:2018-03-31
通信作者: 李斌,副教授,研究方向:多媒体信息安全、深度学习、机器学习等,E-mail:libin@szu.edu.cn E-mail:libin@szu.edu.cn
基金资助:
国家自然科学基金（No.61572329，No.61772349）资助

Preprocessing Layer in Spatial Steganalysis Based on Deep Learning

SHI Xiao-yu^1,3, LI Bin^1,3, TAN Shun-quan^2,3

1. College of Information Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, China;
2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, China;
3. Shenzhen Key Lab of Media Security, Shenzhen University, Shenzhen 518060, Guangdong Province, China

Received:2018-01-25 Online:2018-03-31 Published:2018-03-31

摘要/Abstract

摘要：

在一种具有预处理层的卷积神经网络模型基础上，对其高通滤波器预处理层进行改进，采用一组导数滤波器以获得线性及非线性残差图像，并对残差图像进行量化和截断操作，从而更加有效地提取图像特征.实验结果表明，与已有方法相比，尽管所提的3种方法对各空域隐写算法及各嵌入率下的性能表现并不一致，但这些方法均能显著提升隐写分析检测率.对于检测嵌入率为0.4 bpp的S-UNIWARD隐写算法，检测正确率提高了6%.

关键词: 隐写分析, 卷积神经网络, 导数滤波器

Abstract:

In this paper, we propose some preprocessing methods to improve the performance of a well-designed convolution neural network based on the preprocessed layer. In the proposed methods, linear and nonlinear residuals are obtained by employing a set of derivative flters, and then quantized and truncated for the effective extraction. Experimental results show that the detection performances with the three proposed preprocessing methods are all improved. Although the improvements are not consistence under different spatial steganographic algorithms and different embedding rates. The detection performance is 6% better than the prior work for S-UNIWARD at 0.4bpp.

Key words: steganalysis, convolutional neural network, derivative flters

中图分类号:

TP391

史晓裕, 李斌, 谭舜泉. 深度学习空域隐写分析的预处理层[J]. 应用科学学报, 2018, 36(2): 309-320.

SHI Xiao-yu, LI Bin, TAN Shun-quan. Preprocessing Layer in Spatial Steganalysis Based on Deep Learning[J]. Journal of Applied Sciences, 2018, 36(2): 309-320.

参考文献

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深度学习空域隐写分析的预处理层

Preprocessing Layer in Spatial Steganalysis Based on Deep Learning

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