• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Journal of Applied Sciences
  2. Vol 10 (1), 2010
  3. 59-64
  • Issues
    Online First Current Issue All Issues
  • Information About
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Journal of Applied Sciences

Year: 2010 | Volume: 10 | Issue: 1 | Page No.: 59-64
DOI: 10.3923/jas.2010.59.64

Facebook Twitter Reddit Linkedin E-mail
ASCI
Research Article

A Novel Embedding Method to Increase Capacity and Robustness of Low-bit Encoding Audio Steganography Technique Using Noise Gate Software Logic Algorithm

Mohamed A. Ahmed
Faculty of Computer Science and Information Technology, University of Malaysia, 50603, Kuala Lumpur, Malaysia

Miss Laiha Mat Kiah
Faculty of Computer Science and Information Technology, University of Malaysia, 50603, Kuala Lumpur, Malaysia

B.B. Zaidan
Faculty of Computer Science and Information Technology, University of Malaysia, 50603, Kuala Lumpur, Malaysia

A.A. Zaidan
Faculty of Computer Science and Information Technology, University of Malaysia, 50603, Kuala Lumpur, Malaysia

In this study, we developed a novel method that is able to shift the limit for transparent data hiding in audio from the fourth LSB layer to the eighth LSB layer, thus the method has improved the capacity and robustness of data hiding in the audio file using a two steps approach. In the first step, noise gate software logic used to obtain a desired signal for embedding the secret message of the input host audio signal (carrier). In the second step, standard 8th LSB layer embedding has been done for this desired signal. Audio quality evaluation has used to evaluate our purposed method in two ways. First, objective test showed the algorithm succeeds in this task, while increasing SNR values of our algorithm comparing to SNR values obtained by standard LSB embedding in the 8th bits LSB layer and the comparison of the histogram audio excerpts has proved this also. Second, subjective listening test proved that high perceptual transparency is accomplished even if eight LSB of host audio signal are used for data hiding.
PDF Fulltext XML References Citation

How to cite this article

Mohamed A. Ahmed, Miss Laiha Mat Kiah, B.B. Zaidan and A.A. Zaidan, 2010. A Novel Embedding Method to Increase Capacity and Robustness of Low-bit Encoding Audio Steganography Technique Using Noise Gate Software Logic Algorithm. Journal of Applied Sciences, 10: 59-64.

DOI: 10.3923/jas.2010.59.64

URL: https://scialert.net/abstract/?doi=jas.2010.59.64

Related Articles

Sub Carriers Carry Secret: An Absolute Stego Approach
Purposeful Error on OFDM: A Secret Channel
An Improved Reversible Data Hiding Method Using Alternative Location Map Embedment Strategy
Reversible Data Hiding Based on Orthogonal Prediction Error Modification and Multilevel Histogram Shifting
OFDM+CDMA+Stego = Secure Communication: A Review

Comments


Pardeep sharma Reply
17 August, 2010

hi sir
your paper is very good , but how i can
find its algorithm for implementation

Bilal Bahaa Zaidan
31 August, 2010


Dear Pardeep sharma:

Just remind me by a week of time and I will show you the implementation

aditya Reply
18 February, 2011

hello sir,can you pls suggest me how to find algorithm for its implementation???

mona ahmed Reply
18 February, 2011

hi sir your paper is very good and useful, but if it is possible can i have a complete numerical example and a complete with more details algorithm

Bilal Bahaa Zaidan Reply
25 February, 2011

Dear Mona, Aditya.


How can I help you? Please feel free to ask.


Bilal Bahaa Zaidan, One of the authors

Leave a Comment


Your email address will not be published. Required fields are marked *

Article Trend



Total views 6988

References


  1. Arnold, M., 2000. Audio watermarking Features applications and algorithms. Proc. IEEE Int. Conf. Multimedia Expo, 2: 1013-1016.
    Direct Link

  2. Artz, D., 2001. Digital steganography: Hiding data within data. IEEE Internet Comput., 5: 75-80.
    CrossRefDirect Link

  3. Bender, W., D. Gruhl, N. Morimoto and A. Lu, 1996. Techniques for data hiding. IBM Syst. J., 35: 313-336.
    CrossRefDirect Link

  4. Chang, L. and I.S. Moskowitz, 1997. Critical analysis of security in voice hiding techniques. Proceedings of the 1st International Conference on Information and Communications Security Beijing, China, Nov. 11�14, Springer, Berlin, Heidelberg, pp: 203-216.
    Direct Link

  5. Cvejic, N. and T. Seppanen, 2002. Increasing the capacity of LSB-based audio steganography. Proceedings of the 5th IEEE Workshop on Multimedia Signal Processing, December 9-11, 2002, St. Thomas, VI., pp: 336-338.
    Direct Link

  6. Cvejic, N. and T. Sepp�nen, 2004. Reduced distortion bit-modification for LSB audio steganography. Proc. 7th Int. Conf. Signal Process., 3: 2318-2321.

  7. Cvejic, N. and T. Seppanen, 2005. Increasing Robustness of LSB audio steganography by reduced distortion LSB coding. J. Univ. Comput. Sci., 11: 56-65.
    Direct Link

  8. Cvejic, N. and T. Seppanen, 2007. Digital Audio Watermarking Techniques and Technologies Applications and Benchmarks. IGI Global, USA. UK., ISBN-10: 1599045133, pp: 328.
    Direct Link

  9. Davis, G. and R. Jones, 1989. The Sound Reinforcement Handbook. 2nd Edn., Hal Leonard Corporation, Milwaukee.

  10. Lee, Y.K. and L.H. Chen, 2000. High capacity image steganographic model. IEEE Proc. Vision Image Signal Process., 147: 288-294.
    Direct Link

  11. Alsalami, M.A.T. and M.M. Al-Akaidi, 2003. Digital Audio Watermarking Survey. De Montfort University, UK., pp: 1-14.
    Direct Link

  12. Mobasseri, B.G., 1998. Direct sequence watermarking of digital video using m-frames. Proc. IEEE Int. Conf. Image Process., 2: 399-403.
    Direct Link

  13. Noto, M., 2001. MP3Stego: Hiding text in MP3 files. http://www.sans.org/reading_room/whitepapers/stenganography/mp3stego_hiding_text_in_mp3_files_550.

  14. Anderson, R.J. and F.A. Petitcolas, 1998. On the limits of steganography. IEEE J. Selected Areas Commun., 16: 474-481.
    CrossRefDirect Link

  15. Stefan, K. and A. Fabin, 2000. Information Hiding Techniques for Steganography and Digital Watermarking. Artech House, London, UK.

  16. Yeh, C.H. and C.J. Kuo, 1999. Digital watermarking through quasi m-arrays. Proceedings of the IEEE Workshop on Signal Processing Systems, OCt. 20-22, Taipei, Taiwan, pp: 456-461.
    CrossRefDirect Link

  17. Lin, Y. and W.H. Abdulla, 2008. Perceptual evaluation of audio watermarking using objective quality measures. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, March 31-April 4, Las Vegas, Nevada, USA., pp: 1745-1748.
    Direct Link

  18. Bassia, P., I. Pitas and N. Nikolaidis, 2001. Robust audio watermarking in time domain. IEEE Trans. Multimedia, 3: 232-241.
    CrossRefDirect Link

Keywords


  • audio steganography
  • Data hidden
  • noise gate
  • SNR
  • steganography
  • least significant bits

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved