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  • : In the paper, we present an approach for identifying the stego-key in key-dependent steganographic schemes. The proposed approach is based on backpropagation neural networks and deals with the image histogram modifications associated with weight configurations of adapted neural networks. The image histogram is the type of histogram acting as a graphical representation of the tonal distribution in a digital image. The stego images that are produced by using such data hiding techniques are inherently robust against main geometrical attacks. The essential part of this article aims to verify the proposed approach in an experimental study. Further, contemporary method of application and results are presented in this paper as an example.
  • : In the paper, we present an approach for identifying the stego-key in key-dependent steganographic schemes. The proposed approach is based on backpropagation neural networks and deals with the image histogram modifications associated with weight configurations of adapted neural networks. The image histogram is the type of histogram acting as a graphical representation of the tonal distribution in a digital image. The stego images that are produced by using such data hiding techniques are inherently robust against main geometrical attacks. The essential part of this article aims to verify the proposed approach in an experimental study. Further, contemporary method of application and results are presented in this paper as an example. (en)
Title
  • Steganography based on neural networks
  • Steganography based on neural networks (en)
skos:prefLabel
  • Steganography based on neural networks
  • Steganography based on neural networks (en)
skos:notation
  • RIV/61988987:17310/14:A1501BBG!RIV15-MSM-17310___
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 47483
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/14:A1501BBG
http://linked.open...riv/jazykVysledku
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  • Backpropagation neural networks; steganography; steganalysis; Blum Blum Shub generator. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BA209A16904D]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 20th International Conference on Soft Computing, Mendel 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Volná, Eva
  • Jarušek, Robert
  • Kotyrba, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1803-3814
number of pages
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  • University of Technilogy
https://schema.org/isbn
  • 978-80-214-4984-8
http://localhost/t...ganizacniJednotka
  • 17310
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