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Detection of Stegoimages by F5 Programme by means of Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507968" target="_blank" >RIV/70883521:28140/09:63507968 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of Stegoimages by F5 Programme by means of Neural Networks

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    15th International Conference on Soft Computing MENDEL 2009

  • ISBN

    978-80-214-3884-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    VUT Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 26, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article