Optimization of Artificial Neural Network Structure in the Case of Steganalysis

  • Zuzana Oplatkova
  • Jiri Holoska
  • Michal Prochazka
  • Roman Senkerik
  • Roman Jasek
Part of the Intelligent Systems Reference Library book series (ISRL, volume 38)

Abstract

This research introduces a method of steganalysis by means of neural networks and its structure optimization. The main aim is to explain the approach of revealing a hidden content in jpeg files by feed forward neural network with Levenberg-Marquardt training algorithm. This work is also concerned to description of data mining techniques for structure optimization of used neural network. The results showed almost 100% success of detection.

Keywords

Artificial Neural Network Hide Layer Discrete Cosine Transform Hide Neuron Cover Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zuzana Oplatkova
    • 1
  • Jiri Holoska
    • 1
  • Michal Prochazka
    • 1
  • Roman Senkerik
    • 1
  • Roman Jasek
    • 1
  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlínZlínCzech Republic

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