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Chaotic-type features for speech steganalysis

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Koçal, Osman Hilmi
Avcıbaş

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Yürüklü, Emrah
Avcıbaş, İsmail

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IEEE

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Abstract

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.

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Cryptography, Differential equations, Lyapunov methods, Telecommunication networks, Chaos, False neighbors, Lyapunov exponent, Steganalysis, Steganography, Speech, Computer science, Engineering

Citation

Koçal, O. H. vd. (2008). ''Chaotic-type features for speech steganalysis''. IEEE Transactions on Information Forensics and Security, 3(4), 651-661.

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