Detector Of Steganographyk Images With The Application Of Artifical Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10236830" target="_blank" >RIV/61989100:27240/17:10236830 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/17:10236830
Result on the web
<a href="https://www.sgem.org/index.php/call-for-papers/conference-proceedings-sgem" target="_blank" >https://www.sgem.org/index.php/call-for-papers/conference-proceedings-sgem</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detector Of Steganographyk Images With The Application Of Artifical Neural Network
Original language description
Introduction Steganography can be used for illegal activities. It is very important to be prepared. To detect steganography images we have counter-technique known as steganalysis. There are different types of steganalysis, depending on if the original artifact (cover) is known or not. In terms of practical use, most important are methods of “blind steganalysis”, that can be applied to image files and because we do not have the original cover for comparison. This article deals with the application of neural networks on the issues of steganalysis. The aim is to improve the detection capability of conventional steganalytical tools with using of artificial neural network and several improvements. In our work is important to understand the behavior of the targeted steganography algorithm. Then we can use it is weaknesses to increase the detection capability. In our case we are focus on steganography algorithm OutGuess2.0. We analyze the ability of the detector, which utilizes calibration process and blockiness calculation to detect the presence of steganography message in suspected image. We verify if the deployment of neural network improves this detection.
Czech name
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Czech description
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Project
<a href="/en/project/TF01000091" target="_blank" >TF01000091: Security of Mobile Devices and Communication</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SGEM 2017 : proceedings of the 17th International Multidisciplinary Scientific GeoConference : June 29 – July 5, 2017, Albena, Bulgaria. Volume 17. Issue 54
ISBN
978-619-7408-11-9
ISSN
1314-2704
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
255-262
Publisher name
STEF92 Technology Ltd.
Place of publication
Sofia
Event location
Albena
Event date
Jun 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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