A New Steganography Method Using Artificial Neural Networks

Authors

  • Ricardo Martinez-Gonzalez
  • Andrés Ali López-Hernández
  • José Antonio Hernández-Reyes
  • Rubén Vázquez-Medina
  • Leonardo Palacios-Luengas

Keywords:

Artificial Neural Networks, Steganographic application, Scaled Conjugate Gradient

Abstract

This manuscript describes a proposal for using an artificial neural network to hide information in digital images. The proposed method uses the scaled conjugate gradient learning to configure an ANN and replicate an intelligent message from a cover image. The configuration values are sent to destination alongside the cover image, and the intelligent message is easily recovered. The method was proved using four ANN architectures, where the number of neurons is varied, and also by using different cover images. The results deliver that is possible to send information with minimum error from one side to other in a channel.

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Published

2020-04-12

How to Cite

Martinez-Gonzalez, R., López-Hernández, A. A., Hernández-Reyes, J. A., Vázquez-Medina, R., & Palacios-Luengas, L. (2020). A New Steganography Method Using Artificial Neural Networks. IEEE Latin America Transactions, 18(3), 495–506. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/333