METHOD OF BLOCK INTERLEAVING OF TEXT INFORMATION FOR IN-TEGRATION INTO A STEGANOGRAPHIC AUDIO CONTAINER BASED ON THE MAXIMUM ENTROPY OF WAVELET COEFFICIENTS
Keywords:steganography, text information, wavelet-transform, audiosignal, wavelet coefficients
The article examines the problems of primary processing and division into the optimal number of blocks of text information depending on the volume of text and steganographic audio container, to uniformly integrate it into wavelet coefficients over the entire frequency band at each level of the wavelet transform. Considering this, the main task of the research is to find the number of blocks of text information and the number of symbols in each block by calculating the maximum entropy of the wavelet coefficients of the audio container, which allows taking into account the energy spectral power of the text information and the audio signal in an absolute relationship between themselves. This will increase the efficiency of the audio steganosystem when compression algorithms are applied to an audio container with integrated text information for its intentional distortion. Since low-frequency wavelet coefficients with each subsequent level of wavelet decomposition will increase their absolute power due to the scalar product with wavelet filters, then the text information must be divided into such a number of blocks that its integration into low-frequency wavelet coefficients takes place from the minimum to the maximum values at each level of the wavelet transform, which will increase the average power of hidden text information. It should also be noted that statistical dependencies between symbols of text information do not allow us to approach its maximum entropy, therefore, it is necessary to remove statistical dependencies between symbols in text information, which is implemented using a pseudorandom number generator, which forms a sequence of evenly distributed numbers in a given interval.
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