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

Volumn 10, Issue 1, 2010, Pages 59-64

  Ahmed, Mohamed A ^a   Kiah, Laiha Mat ^a   Zaidan, B B ^a   Zaidan, A A ^a  

^a UNIVERSITY OF MALAYSIA   (Malaysia)

Author keywords

Audio steganography; Data hidden; Least significant bits; Noise gate; SNR; Steganography

Indexed keywords

AUDIO STEGANOGRAPHY; DATA HIDDEN; LEAST SIGNIFICANT BITS; NOISE GATE; SNR;

ALGORITHMS; AUDIO SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; STEGANOGRAPHY;

ACOUSTIC NOISE;

EID: 74349117323     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2010.59.64     Document Type: Article

References (18)

1. Alsalami, M.A.T. and M.M. Al-Akaidi, 2003. Digital Audio Watermarking Survey. De Montfort University, UK., pp: 1-14.
2. Anderson, R.J. and F.A.P. Petitcolas, 1998. On the limits of steganography. IEEE J. Selected Areas Commun., 16: 474-481.
3. Arnold, M., 2000. Audio watermarking Features applications and algorithms. Proc. IEEE Int. Conf. Multimedia Expo, 2: 1013-1016.
4. Artz, D., 2001. Digital steganography: Hiding data within data. IEEE Internet Comput., 5: 75-80.
5. Bassia, P., I. Pitas and N. Nikolaidis, 2001. Robust audio watermarking in the time domain. IEEE Trans. Multimedia, 3: 232-241.
6. Bender, W., D. Gruhl, N. Morimoto and A. Lu, 1996. Techniques for data hiding. IBM Syst. J., 35: 313-336.
7. 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.
8. Cvejic, N. and T. Seppanen, 2002. Increasing the capacity of LSB-based audio steganography. Proceedings of the 5th IEEE Workshop on Multimedia Signal Processing, Dec. 9-11, St. Thomas, VI, pp: 336-338.
9. Cvejic, N. and T. Seppanen, 2005. Increasing Robustness of LSB audio steganography by reduced distortion LSB coding. J. Univ. Comput. Sci., 11: 56-65.
10. Cvejic, N. and T. Seppanen, 2007. Digital Audio Watermarking Techniques and Technologies Applications and Benchmarks. IGI Global, USA. UK., ISBN-10: 1599045133, pp: 328.
11. Cvejic, N. and T. Seppänen, 2004. Reduced distortion bit-modification for LSB audio steganography. Proc. 7th Int. Conf. Signal Process., 3: 2318-2321.
12. Davis, G. and R. Jones, 1989. The Sound Reinforcement Handbook. 2nd Edn., Hal Leonard Corporation, Milwaukee.
13. Lee, Y.K. and L.H. Chen, 2000. High capacity image steganographic model. IEEE Proc. Vision Image Signal Process., 147: 288-294.
14. 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.
15. Mobasseri, B.G., 1998. Direct sequence watermarking of digital video using m-frames. Proc. IEEE Int. Conf. Image Process., 2: 399-403.
16. Noto, M., 2001. MP3Stego: Hiding text in MP3 files. http://www.sans.org/reading_room/whitepapers/stenganography/mp3stego_hiding_text_in_mp3_files_550.
17. Stefan, K. and A. Fabin, 2000. Information Hiding Techniques for Steganography and Digital Watermarking. Artech House, London, UK.
18. 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.