Open Access

ARTICLE

A Fusion Steganographic Algorithm Based on Faster R-CNN

Ruohan Meng^1,2, Steven G. Rice³, Jin Wang⁴, Xingming Sun^1,2,*

1 School of Computer and Software, Nanjing University of Information Science and Technology, Ning Liu Road, No. 219, Nanjing, 210044, China.
2 Jiangsu Engineering Centre of Network Monitoring, Ning Liu Road, No. 219, Nanjing, 210044, China.
3 Department of Mathematics and Computer Science, Northeastern State University Tahlequah, OK 74464, USA.
4 School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410114, China.

* Corresponding author: Xingming Sun. Email: .

Computers, Materials & Continua 2018, 55(1), 1-16. https://doi.org/10.3970/cmc.2018.055.001

Abstract

The aim of information hiding is to embed the secret message in a normal cover media such as image, video, voice or text, and then the secret message is transmitted through the transmission of the cover media. The secret message should not be damaged on the process of the cover media. In order to ensure the invisibility of secret message, complex texture objects should be chosen for embedding information. In this paper, an approach which corresponds multiple steganographic algorithms to complex texture objects was presented for hiding secret message. Firstly, complex texture regions are selected based on a kind of objects detection algorithm. Secondly, three different steganographic methods were used to hide secret message into the selected block region. Experimental results show that the approach enhances the security and robustness.

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Keywords

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