基于生成对抗网络的图像隐藏方案

doi:10.3969/j.issn.1671-1122.2019.05.007

信息网络安全 ›› 2019, Vol. 19 ›› Issue (5): 54-60.doi: 10.3969/j.issn.1671-1122.2019.05.007

基于生成对抗网络的图像隐藏方案

王耀杰^1,²(), 钮可^1,², 杨晓元^1,²

1. 武警工程大学网络与信息安全武警部队重点实验室,陕西西安 710086
2. 武警工程大学密码工程学院,陕西西安 710086

收稿日期:2018-10-15 出版日期:2019-05-10 发布日期:2020-05-11
作者简介:
作者简介：王耀杰（1990—）,男,河南,硕士研究生,主要研究方向为信息安全、深度学习;钮可（1981—）,男,浙江,副教授,硕士,主要研究方向为信息安全、信息隐藏技术;杨晓元(1959—),男,湖南,教授,硕士,主要研究方向为信息安全、信息隐藏技术、密码学。
基金资助:
国家重点研发计划 [2017YFB0802000]

Image Steganography Scheme Based on GANs

Yaojie WANG^1,²(), Ke NIU^1,², Xiaoyuan YANG^1,²

1. Key Laboratory for Network and Information Security of Chinese Armed Police Force, Engineering University of PAP, Xi’an Shaanxi 710086, China;
2. College of Cryptographic Engineering, Engineering College of PAP , Xi’an Shaanxi 710086, China;

Received:2018-10-15 Online:2019-05-10 Published:2020-05-11

摘要/Abstract

摘要：

针对信息隐藏中修改载体嵌入信息的方法会留有痕迹,从根本上难以抵抗统计分析算法检测的问题,文章提出一种基于生成对抗网络的图像隐写方案,通过生成更合适的载体图像来提高信息隐藏的安全性,能够有效抵抗隐写分析算法的检测。该方案提出的策略是联合生成对抗网络和传统信息隐藏技术,将生成式载密图像和传统式载密图像作为输入,进行迭代优化,使生成器生成的图像更适合作为载体信息。与SGAN和SSGAN方案相比,该方案使得攻击者在隐写分析错误率上分别提高了9%和4.1%。实验结果表明,该方案在抗隐写分析和安全性指标上明显优于对比方案。

关键词: 信息隐藏, GAN, WGAN, 安全性

Abstract:

Focused on the issue that information-hidden carriers will leave traces of modification, and it is fundamentally difficult to resist the statistical steganalysis algorithm detection. A new security steganography model based on Generative Adversarial Networks (GAN) is proposed.By generating more appropriate carrier information to ensure the security of information hiding and improving the imperceptibility, we can effectively resist the steganalysis algorithm detection.The proposed strategy is to jointly generate the anti-network and traditional information hiding, and use the “generated” image and the “traditional” image as the discriminator input, and iteratively optimizes it,which make the image generated by the generator more suitable as carrier information. Compared with SGAN and SSGAN, this model reduces the detection accuracy of steganalysis by 9% and 4.1% respectively. Experimental results show that the new scheme is superior to the contrast algorithm in Anti-steganography analysis and security indicators.

Key words: steganography, GAN, WGAN, security

中图分类号:

TP309

王耀杰, 钮可, 杨晓元. 基于生成对抗网络的图像隐藏方案[J]. 信息网络安全, 2019, 19(5): 54-60.

Yaojie WANG, Ke NIU, Xiaoyuan YANG. Image Steganography Scheme Based on GANs[J]. Netinfo Security, 2019, 19(5): 54-60.

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样本类型	SGAN	SSGAN	Improved-SSGAN
传统式载密图像/%	0.117
生成式载密图像/%	0.183	0.232	0.273

基于生成对抗网络的图像隐藏方案

Image Steganography Scheme Based on GANs

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