Audio steganalysis with content-independent distortion measures

Avcibas I.

IEEE SIGNAL PROCESSING LETTERS, vol.13, no.2, pp.92-95, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 13 Issue: 2
  • Publication Date: 2006
  • Doi Number: 10.1109/lsp.2005.862152
  • Journal Name: IEEE SIGNAL PROCESSING LETTERS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.92-95
  • Bursa Uludag University Affiliated: No

Abstract

We first propose a novel content-independent distortion measurement method and use this methodology for digital audio steganalysis. Content-independent distortion measures are utilized as features for the classifier (steganalyzer) design. Experimental results show that the removal of content dependency from features enhances their discriminatory power.