Generative steganography method based on auto-generation of contours

Zhili ZHOU; Meimin WANG; Gaobo YANG; Jianyu ZHU; Xingming SUN

doi:10.11959/j.issn.1000-436x.2021174

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Generative steganography method based on auto-generation of contours

Papers | 更新时间：2024-06-05

- Generative steganography method based on auto-generation of contours
- Journal on Communications Vol. 42, Issue 9, Pages: 144-154(2021)
- 作者机构：
  
  1. 南京信息工程大学数字取证教育部工程研究中心，江苏南京 210044
  2. 南京信息工程大学计算机与软件学院，江苏南京 210044
  3. 湖南大学信息科学与工程学院，湖南长沙 410082
- 作者简介：
- 基金信息：
  
  The National Key R ＆ D Program of China(2018YFB1003205);The National Natural Science Foundation of China(61972205);The National Natural Science Foundation of China(61972143)
- DOI：10.11959/j.issn.1000-436x.2021174
  CLC： TN911.73
- Online First：2021-09，
  
  Published：25 September 2021
- 稿件说明：
移动端阅览
Zhili ZHOU, Meimin WANG, Gaobo YANG, et al. Generative steganography method based on auto-generation of contours[J]. Journal on Communications, 2021, 42(9): 144-154.
DOI：

Zhili ZHOU, Meimin WANG, Gaobo YANG, et al. Generative steganography method based on auto-generation of contours[J]. Journal on Communications, 2021, 42(9): 144-154. DOI： 10.11959/j.issn.1000-436x.2021174.

摘要

为解决现有构造式隐写方法隐藏容量小和秘密信息难以提取的问题，提出一种基于轮廓自动生成的构造式图像隐写方法，具体包括以秘密信息为驱动的轮廓线生成和从轮廓线到图像变换2个过程。首先，建立基于长短期记忆网络（LSTM）的轮廓自动生成模型，实现以秘密信息为驱动的图像轮廓线生成；然后，建立基于pix2pix模型的轮廓-图像可逆变换模型，将轮廓线变换为含密图像。该模型也支持含密图像到轮廓的逆变换，从而实现秘密信息提取。实验结果表明，所提方法不仅能有效地抵抗隐写分析攻击，还能实现较高的隐藏容量和准确的秘密信息提取，性能明显优于现有的同类构造式图像隐写方法。

Abstract

To address the problems of limited hiding capacity and inaccurate information extraction in the existing generative steganography methods

a novel generative steganography method was proposed based on auto-generation of contours

which consisted of two main stages

such as the contour generation driven by secret information and the contour-to-image transformation.Firstly

the contour generation model was built based on long short term memory (LSTM) for secret information-driven auto-generation of object contours.Then

a contour-to-image reversible transformation model was constructed based on pix2pix network to obtain the stego-image

and the model also supported the reversible transformations from the stego-image to contours for secret information extraction.Experimental results demonstrate that the proposed method not only achieves high hiding capacity and accurate information extraction simultaneously

but also effectively resists the attacks by steganalysis tools.It performs much better than the state-of-the-art generative steganographic methods.

关键词

Keywords

references

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