An anti-steganographic approach for removing secret information in digital audio data hidden by spread spectrum methods

Fahimeh Rezaei, Tao Ma, Michael Hempel, Dongming Peng, Hamid Sharif

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

6 Scopus citations

Abstract

In this paper, we present and investigate a method to attack and remove multimedia steganography in digital audio data. Among the existing steganography methods that can be used to hide secret data in digital audio carriers, the Spread Spectrum methods are among the most effective and robust for embedding steganography data. Though there are currently a few research efforts on removing or destroying steganography in multimedia, there have been very few efforts on removing steganography from audio. In this paper, we have introduced a simple but very effective anti-steganography approach for removing hidden information from digital audio data embedded using Spread Spectrum methods. The main concept in our approach is to leverage limited pseudo-random shuffling of the samples in the audio stream so that the synchronization information necessary for decoding Spread Spectrum steganography information cannot be attained. Our simulation results in this paper have demonstrated great performance in removing audio steganography by achieving a 50% bit error rate after applying our anti-steganography approach to the digital audio data while maintaining the audio quality.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Communications, ICC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2117-2122
Number of pages6
ISBN (Print)9781467331227
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: Jun 9 2013Jun 13 2013

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period6/9/136/13/13

Keywords

  • Audio
  • Desynchronization
  • Information Hiding
  • Spread Spectrum
  • Steganalysis
  • Steganography

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Rezaei, F., Ma, T., Hempel, M., Peng, D., & Sharif, H. (2013). An anti-steganographic approach for removing secret information in digital audio data hidden by spread spectrum methods. In 2013 IEEE International Conference on Communications, ICC 2013 (pp. 2117-2122). [6654839] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2013.6654839