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Steganography is the process of hiding information on a host signal. Transparency is referred to the ability
to avoid suspicion about the existence of a secret message. The most popular mechanisms for hiding data
in audio signals are the Least Significant Bit (LSB) substitution, Frequency Masking (FM), Spread Spectrum
(SS), and Shift Spectrum Algorithm (SSA). In this paper, we adapt the Frequency Masking concept using an
efficient sorting of the wavelet coefficients of the secret messages and use an indirect LSB substitution for
hiding speech signals into speech signals. The experimental results show that the proposed model, the
Efficient Wavelet Masking (EWM) scheme, has a hiding capacity significantly higher than the Spread
and Shift Spectrum Algorithms and additionally a statistical transparency higher than all of the above
mentioned mechanisms. Moreover, the transparency is not dependent of the host signal chosen because
the wavelet sorting guarantees the adaptation of the secret message to the host signal.
CitationBallesteros, D.; Moreno, J. Highly transparent steganography model of speech signals using efficient wavelet masking. "Expert systems with applications", Agost 2012, vol. 39, núm. 10, p. 9141-9149.
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