Technology of Information Security
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2465-2468

Research on cover selection image steganography algorithm

Bi Xinlianga,b
Yang Xiaoyuana,b
Liu Wenchaob
Huang Siyuanb
a. Key Laboratory of Network & Information Security under the PAP, b. College of Cryptographic Engineering, Engineering University of PAP, Xi'an 710086, China

Abstract

In traditional cover selection image steganography, the relationship between image and secret information needs to be constructed manually, and the robustness is not strong. In response to this problem, this paper proposed a cover selection image steganography algorithm. This algorithm combined the idea of image retrieval, used the discriminator of StarGAN as the feature extractor, mapped the extracted features into secret messages, and directly constructed the relationship between image and secret messages. In order to automatically update the mapping relationship database, this solution used feature update, searching image update and other methods to update the relationship database. Experiments show that this scheme has a higher steganography capacity and better robustness. When the image quality is not high, the extraction accuracy is about 6% higher than the existing methods.

Foundation Support

国家自然科学基金资助项目
国家重点研究开发项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0417
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Information Security
Pages: 2465-2468
Serial Number: 1001-3695(2021)08-040-2465-04

Publish History

[2021-08-05] Printed Article

Cite This Article

毕新亮, 杨晓元, 刘文超, 等. 载体选择型图像隐写算法研究 [J]. 计算机应用研究, 2021, 38 (8): 2465-2468. (Bi Xinliang, Yang Xiaoyuan, Liu Wenchao, et al. Research on cover selection image steganography algorithm [J]. Application Research of Computers, 2021, 38 (8): 2465-2468. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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