Chaotic-Type Features for Speech Steganalysis

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 fraction of false neighbors as chaotic features to detect the existence of a stego-signal. We also discuss the applicability of the proposed method to general audio.

• Type: Journal
• Year: 2008
• Where: TIFS
• Authors: Osman Hilmi Kocal, Emrah Yürüklü, Ismail Avcibas
• Keywords: Original Speech Signal, Speech Signal, Speech Steganalysis, TIFS 2008