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Multimedia Tools and Applications

, Volume 77, Issue 23, pp 31487–31516 | Cite as

High capacity, transparent and secure audio steganography model based on fractal coding and chaotic map in temporal domain

  • Ahmed Hussain Ali
  • Loay Edwar George
  • A. A. Zaidan
  • Mohd Rosmadi Mokhtar
Article
  • 158 Downloads

Abstract

Information hiding researchers have been exploring techniques to improve the security of transmitting sensitive data through an unsecured channel. This paper proposes an audio steganography model for secure audio transmission during communication based on fractal coding and a chaotic least significant bit or also known as HASFC. This model contributes to enhancing the hiding capacity and preserving the statistical transparency and security. The HASFC model manages to embed secret audio into a cover audio with the same size. In order to achieve this result, fractal coding is adopted which produces high compression ratio with the acceptable reconstructed signal. The chaotic map is used to randomly select the cover samples for embedding and its initial parameters are utilized as a secret key to enhancing the security of the proposed model. Unlike the existing audio steganography schemes, The HASFC model outperforms related studies by improving the hiding capacity up to 30% and maintaining the transparency of stego audio with average values of SNR at 70.4, PRD at 0.0002 and SDG at 4.7. Moreover, the model also shows resistance against brute-force attack and statistical analysis.

Keywords

Fractal coding Least significant bit Steganography Information hiding Logistic map Statistical steganalysis 

Notes

Acknowledgements

This research is supported by the Ministry of Higher Education and Scientific Research, Studies Planning and Follow-up Directorate, Republic of Iraq and the Research Center for Software Technology & Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (DPP-2015-018).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Universiti Kebangsaan MalaysiaBangiMalaysia
  2. 2.University of BaghdadBaghdadIraq
  3. 3.Universiti Pendidikan Sultan IdrisTanjung MalimMalaysia

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