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Title: DETECTOR OF THE STEGANOGRAPHY IMAGES WITH THE APPLICATION OF ARTIFICIAL NEURAL NETWORK
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DETECTOR OF THE STEGANOGRAPHY IMAGES WITH THE APPLICATION OF ARTIFICIAL NEURAL NETWORK
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1314-2704
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English
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21
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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 ?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.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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255-262
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29 June - 5 July, 2017
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website
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cdrom
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2961
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steganography; steganalysis; neural network; ANN; JPEG
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