A Genetic-Algorithm-Based Approach for Audio Steganography

In this paper, we present a novel, principled approach to resolve the remained problems of substitution technique of audio steganography. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.

• Mazdak Zamani
• Azizah A. Manaf
• Rabiah B. Ahmad
• Akram M. Zeki
• Shahidan Abdullah

• Artificial Intelligence
• Audio Steganography
• DataHiding
• Genetic Algorithm
• Substitution Techniques.

[1] Martín Alvaro, Sapiro Guillermo and Seroussi Gadiel, "Is Image
Steganography Natural?" IEEE Transactions On Image Processing, Vol.
14, No. 12, December, 2005.
[2] Cvejic N. and Seppänen T. "Increasing the capacity of LSB based audio
steganography", Proc. 5th IEEE International Workshop on Multimedia
Signal Processing, St. Thomas, VI, December 2002, pp. 336-338.
[3] Lee, Y. K. and Chen L. H. "High Capacity Image Steganographic
Model". IEEE Proceedings Vision, Image and Signal Processing, pp.
288-294, 2000.
[4] Pal S.K., Saxena P. K. and Mutto S.K. "The Future of Audio
Steganography". Pacific Rim Workshop on Digital Steganography,
Japan, 2002.
[5] Westfeld A. and Pitzmann A. "Attacks on Steganographic Systems".
Lecture Notes in Computer Science, vol. 1768, Springer-Verlag, Berlin,
pp. 61-75, 2000.
[6] Fridrich, Jessica and others. "Steganalysis of LSB Encoding in Color
Images." Proceedings of the IEEE International Conference on
Multimedia. 1279-1282. New York: IEEE Press, 2000.
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