Steganalysis of Audio Based on Audio Quality Metrics

Hamza Özer, Ismail Avcibaş, Bülent Sankur, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Classification of audio documents as bearing hidden information or not is a security issue addressed in the context of steganalysis. A cover audio object can be converted into a stego-audio object via steganographic methods. In this study we present a statistical method to detect the presence of hidden messages in audio signals. The basic idea is that, the distribution of various statistical distance measures, calculated on cover audio signals and on stego-audio signals vis-à-vis their denoised versions, are statistically different. The design of audio steganalyzer relies on the choice of these audio quality measures and the construction of a two-class classifier. Experimental results show that the proposed technique can be used to detect the presence of hidden messages in digital audio data.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsE.J. Delp III, P. Wah Wong
Number of pages12
StatePublished - 2003
EventSecurity and Watermarking of Multimedia Contents V - Santa Clara, CA, United States
Duration: Jan 21 2003Jan 24 2003


OtherSecurity and Watermarking of Multimedia Contents V
Country/TerritoryUnited States
CitySanta Clara, CA


  • Audio quality measures
  • Feature selection
  • Steganalysis
  • Support vector machine
  • Watermarking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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