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  • Steganography is one of often used method to hide encoded message inside multimedia file. Such advantage is unfortunately used to send very dangerous messages. Therefore is obvious to try to find a suitable method for detection of these hidden codes. This article is continuation of research in this field and here another programme for creation of stegoimages is used ? F5. As in previous research neural networks ? feedforward network ? were used. In the result part a detection and comparison with other stegoprogrammes are performed out. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used model had almost 100 % success in revealing stegoimages.
  • Steganography is one of often used method to hide encoded message inside multimedia file. Such advantage is unfortunately used to send very dangerous messages. Therefore is obvious to try to find a suitable method for detection of these hidden codes. This article is continuation of research in this field and here another programme for creation of stegoimages is used ? F5. As in previous research neural networks ? feedforward network ? were used. In the result part a detection and comparison with other stegoprogrammes are performed out. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used model had almost 100 % success in revealing stegoimages. (en)
Title
  • Detection of Stegoimages by F5 Programme by means of Neural Networks
  • Detection of Stegoimages by F5 Programme by means of Neural Networks (en)
skos:prefLabel
  • Detection of Stegoimages by F5 Programme by means of Neural Networks
  • Detection of Stegoimages by F5 Programme by means of Neural Networks (en)
skos:notation
  • RIV/70883521:28140/09:63507968!RIV10-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1680), Z(MSM7088352101)
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
  • 309802
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507968
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Steganography; Cryptography; Neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A158E47190CC]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 15th International Conference on Soft Computing MENDEL 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Oplatková, Zuzana
  • Zelinka, Ivan
  • Šenkeřík, Roman
  • Hološka, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-3884-2
http://localhost/t...ganizacniJednotka
  • 28140
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