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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v46.i1.70
pages 63-72

Investigation of the Applicability of the Co-occurrence Matrix for Detecting Steganoaudiosignals

Natalya V. Koshkina
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev

RESUMO

The sensitivity of rows of the co-occurrence matrix of audio signals computed in the time and the wavelet coefficients domains to distributed and sequential steganographic embedding by LSB method has been investigated. The relations between the steganographic capacity and the accuracy of SVM classification based on rows features of co-occurrence matrices stego and normal audios have been found. The method for determining the length of hidden messages by weighted voting of binary classifiers set that distinguish between two stego audios with different steganographic capacity has been proposed.

Referências

  1. Qi Y., Wang Y., Yuan J. , Audio steganalysis based on co-occurrence matrix and PCA.

  2. Koshkina N.V. , Staganalysis of MIK steganography based on co-occurrence matrix and the method of support vector.

  3. Abolghasemi M., Aghainia H., Faez K., Mehrabi M.A. , LSB data hiding detection based on gray level co-occorrence matrix.

  4. Kekre H.B., Athawale A.A., Patki S.A. , Steganalysis of LSB imbedded images using gray level co-occurrence matrix.

  5. Fazli S., Zolfaghari-Nejad M. , A new steganalysis method for steganographic images on DWT domain.

  6. Schwamberger V., Franz M.O. , Simple algorithmic modifications for improving blind steganalysis performance.


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