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Steganalysis by means of Artificial Neural Networks



Год выпуска: 2012
Автор: Jiri Holoska and Zuzana Kominkova Oplatkova
Издательство: LAP Lambert Academic Publishing
Страниц: 132
ISBN: 9783659301728
Описание
This book is focused on the revealing of hidden information present in multimedia files, mainly in pictures. This hidden information (messages) is coded in by means of steganography, which is an additional method of cryptography. Steganography provides better security for messages and the detection of such a message is not easy. The main goal of this research is a classification by means of artificial neural networks aimed at reducing false positive classification results to a minimum. To accomplish the main goal, a new model of image pre-processing was proposed. This pre-processing model is based on the Huffman coding, which is the main part of the lossless compression algorithm used in JPEG images. The Huffman coding can be easily transformed into the training sets for the artificial neural network, which is used as a classifier. The type of used artificial neural network was feed forward with supervision and Levenberg-Marquardt training algorithm. The results from performed...


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Екатерина, 10.05
Я все посмотрела,большое спасибо! Именно так и просил преподаватель.