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A Fusion Steganographic Algorithm Based on Faster R-CNN

Ruohan Meng1,2, Steven G. Rice3, Jin Wang4, Xingming Sun1,2,*

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

* Corresponding author: Xingming Sun. Email: email.

Computers, Materials & Continua 2018, 55(1), 1-16.


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.


Cite This Article

APA Style
Meng, R., Rice, S.G., Wang, J., Sun, X. (2018). A fusion steganographic algorithm based on faster R-CNN. Computers, Materials & Continua, 55(1), 1-16.
Vancouver Style
Meng R, Rice SG, Wang J, Sun X. A fusion steganographic algorithm based on faster R-CNN. Comput Mater Contin. 2018;55(1):1-16
IEEE Style
R. Meng, S.G. Rice, J. Wang, and X. Sun "A Fusion Steganographic Algorithm Based on Faster R-CNN," Comput. Mater. Contin., vol. 55, no. 1, pp. 1-16. 2018.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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