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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
Neural Network Approach to Image Steganography Techniques
Citace
Jarušek, R., Volná, E. a Kotyrba, M. Neural Network Approach to Image Steganography Techniques.
In:
Mendel 2015: Mendel 2015, Recent Advances in Soft Computing 2015-06-23 Brno.
Springer International Publishing, 2015. s. 317-327. ISBN 978-3-319-19823-1.
Subtitle
Publication year:
2015
Obor:
Informatika
Number of pages:
11
Page from:
317
Page to:
327
Form of publication:
Tištená verze
ISBN code:
978-3-319-19823-1
ISSN code:
2194-5357
Proceedings title:
Mendel 2015, Recent Advances in Soft Computing
Proceedings:
Mezinárodní
Publisher name:
Springer International Publishing
Place of publishing:
Neuveden
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
Mendel 2015
Místo konání konference:
Brno
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000364847700026
EID:
2-s2.0-84946763012
Key words in English:
Steganography; Steganalysis; Blum blum shub generator; Discrete fourier transform (DFT); Fast fourier transform (FFT); Backpropagation neural networks
Annotation in original language:
Steganography is one of the methods used for the hidden exchange of information and it can be defined as the study of invisible communication that usually deals with the ways of hiding the existence of the communicated message. In this way, if successfully it is achieved, the message does not attract attention from eavesdroppers and attackers. Using steganography, information can be hidden in different embedding mediums, known as carriers. These carriers can be images, audio files, video files, and text files. The focus in this paper is on the use of an image file as a carrier. The proposed approach is based on backpropagation neural networks. 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.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/15:A1601EEH
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