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Prof. Lacezar Licev

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Author: Prof. Lacezar LicevSubject: Informaticsclear all
Showing 1-3 of 3 records
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SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publication

DETECTOR OF THE STEGANOGRAPHY IMAGES WITH THE APPLICATION OF ARTIFICIAL NEURAL NETWORK

(STEF92 Technology, 2017-06-20, Jakub Hendrych, Lacezar Licev, Radim Kuncicky)

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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 пїЅblind steganalysisпїЅ, 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 ...

Informatics2017
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publication

STATISTICAL ANALYSIS OF STEGANALZTICAL MOTHOD FOR STEGHIDE DETECTION

(STEF92 Technology, 2017-06-20, Radim Kuncicky, Lacezar Licev, Jakub Hendrych)

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Steganography is part of security science that deals with art of data hiding. Modern steganography can serve as an effective tool for hidden data transfers or watermarking for various computer formats, like JPEG, PNG, and MPEG. But it can be misused for stealing data or information transfer in illegal activities too. Most of today available steganography tools are free for use with easy user interface. This significantly increases the risk of exploiting in business sector. Revealing this data is very difficult and...

Informatics2017
1st International Scientific Conference - SGEM2001
Publication

NEW APPROACHES TO MINING PHOTOGRAMMETRY USING PC

(SGEM Scientific GeoConference, 2001, Lacezar Licev)

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This contribution engages in mining photogrammetry as a relatively new branch of photogrammetry. It describes a system, which is divided into two modules. The first one is used to describe single objects on a snap, the second one performs a synthesis of all the snaps. New expansion of this branch is made by solving photogrammetric problems on computers. The photogrammetric system FOTOM was used to solve a particular task in mining photogrammetry. The system is an integral system on a qualitatively better level the...

Informatics2001
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