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Steganography based on neural networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501BBG" target="_blank" >RIV/61988987:17310/14:A1501BBG - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Steganography based on neural networks

  • Original language description

    : 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 20th International Conference on Soft Computing, Mendel 2014

  • ISBN

    978-80-214-4984-8

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    223-228

  • Publisher name

    University of Technilogy

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 25, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article