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  • This paper describes the technique for revealing of steganography content in images by means of feedforward neural network. The work is connected with cryptography for information encoding and additional method for information hiding, which is called steganography. The substance of the paper explains the principle of hidden information detection in images like JPEG format by means of feedforward neural network. The results show successful detection of four stego techniques by means of artificial neural network with one hidden layer.
  • This paper describes the technique for revealing of steganography content in images by means of feedforward neural network. The work is connected with cryptography for information encoding and additional method for information hiding, which is called steganography. The substance of the paper explains the principle of hidden information detection in images like JPEG format by means of feedforward neural network. The results show successful detection of four stego techniques by means of artificial neural network with one hidden layer. (en)
Title
  • Steganography content detection by means of feedforward neural network
  • Steganography content detection by means of feedforward neural network (en)
skos:prefLabel
  • Steganography content detection by means of feedforward neural network
  • Steganography content detection by means of feedforward neural network (en)
skos:notation
  • RIV/70883521:28140/13:43869700!RIV14-MSM-28140___
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  • P(ED2.1.00/03.0089)
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  • 3
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  • 107926
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  • RIV/70883521:28140/13:43869700
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  • JPEG format.; images; information hiding; information encoding; cryptography; steganalysis; steganography content detection; ANNs; artificial neural networks (en)
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  • GB - Spojené království Velké Británie a Severního Irska
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  • [1B2C6256E977]
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  • International Journal of Innovative Computing and Applications
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  • 5
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  • Šenkeřík, Roman
  • Hološka, Jiří
  • Komínková Oplatková, Zuzana
issn
  • 1751-648X
number of pages
http://bibframe.org/vocab/doi
  • 10.1504/IJICA.2013.055932
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  • 28140
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