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Chaotic-Type Features for Speech Steganalysis
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DOI：10.1109/TIFS.2008.2004289.png)
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摘要
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We investigate the use of chaotic-type features for recorded speech steganalysis. Considering that data hiding within a speech signal distorts the chaotic properties of the original speech signal, we design a steganalyzer that uses Lyapunov exponents and a fraction of false neighbors as chaotic features to detect the existence of a stegosignal. We also discuss the applicability of the proposed method to general audio.
Keyword:
Chaos
false neighbors
Lyapunov exponent
speech
steganalysis
steganography
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