A steganographic method of improved resistance to the rich model­based analysis

A steganographic method of improved resistance to the rich model­based analysis

This paper addresses the task of developing a steganographic method to hide information, resistant to analysis based on the Rich model (which includes several different submodels), using statistical indicators for the distribution of the pairs of coefficients for a discrete cosine transform (DCT) wi...

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Bibliographic Details
Main Authors: Nikolay Kalashnikov, Olexandr Kokhanov, Olexandr Iakovenko, Nataliia Kushnirenko
Format: Article
Language:English
Published: PC Technology Center 2020-04-01
Series:Eastern-European Journal of Enterprise Technologies
Subjects:
statistical indicators
machine learning
neural network
digital steganography
information hiding
Online Access:http://journals.uran.ua/eejet/article/view/201731

Internet

http://journals.uran.ua/eejet/article/view/201731

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