Deep learning for real-time image steganalysis: a survey

Author:

Ruan Feng,Zhang Xing,Zhu Dawei,Xu Zhanyang,Wan Shaohua,Qi Lianyong

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Reference89 articles.

1. Tang, Y.-H., Jiang, L.-H., He, H.-Q., Dong, W.-Y.: A review on deep learning based image steganalysis. In: 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 1764–1770. IEEE, (2018)

2. Li, B., He, J., Huang, J., Shi, Y.Q.: A survey on image steganography and steganalysis. J. Inf. Hiding Multimed. Signal Process. 2(2), 142–172 (2011)

3. Songtao, W., Zhong, S., Liu, Y.: Deep residual learning for image steganalysis. Multimed. Tools Appl. 77(9), 10437–10453 (2018)

4. Nutzinger, M., Poisel, R.: Software architecture for real-time steganography in auditive media. In: 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON), pp. 100–105. IEEE, (2010)

5. Al-Othmani, A.Z., Manaf, A.A., Zeki, A.M.: A survey on steganography techniques in real time audio signals and evaluation. Int. J. Comput. Sci. Issues (IJCSI) 9(1), 30 (2012)

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