Chaotic-Type Features for Speech Steganalysis


Kocal O. H. , Yuruklu E., Avcibas I.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, vol.3, no.4, pp.651-661, 2008 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 3 Issue: 4
  • Publication Date: 2008
  • Doi Number: 10.1109/tifs.2008.2004289
  • Title of Journal : IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
  • Page Numbers: pp.651-661

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.