Artificial intelligence

Abstract: The proposal of the new steganographical method of hiding data in audio signal is shown in this article. The solution idea is based on the mechanism of linear prediction of audio signals samples valued made by neural nets. Usage of two neural nets allows for obtaining two slightly different results who are ascribed to two binary values to hide. This method allows for successful data hide in sound signal without introducing regularity inside the signal.

Keywords: steganography, neural net, hiding data

References:

1. Chun-Shien Lu. Multimedia Security / Chun-Shien Lu. – Idea Group, 2005
2. Fiok J. Proovably secure steganography / Fiok J. – 2003.
3. Garbarczuk W. Information protecting basis / W. Garbarczuk, A.Świć. – Lublin, 2005.
4. Sencar H. T. Data Hiding Fundamentals and Applications / H.T. Sencar, M. Ramkumar, A.N. Akansu. – Elsevier, 2004
5. Korbicz J. Artificial neural nets. Basis and applications / J. Korbicz, A. Obuchowicz, D. Uciński. – Akademicka Oficyna Wydawnicza PLJ, Warsaw, 1994.
6. Cachin C. An Information-Theoretic Model of Steganography / Cachin C. – 1998.
7. Zhang K. Information Security / K. Zhang, Y. Zheng // 7th International Conference, (ISC 2004, Palo Alto, CA, USA, September 27 – 29). – Springer-Verlag Berlin 2004
8. Wayner P. Disappearing cryptography / P. Wayner // Elsevier Science. – San Francisco, 2002.
9. Johnson N.F. Information Hiding Steganography and Watermarking-Attacks and Countermeasures / N. F. Johnson, Z. Duric, S. Jajodia. – Kluwer Academic Publisher, 2001
10. Katzenbeisser S. Information Hiding Techniques for Steganography and Digital Watermarking / S. Katzenbeisser, Fabien, A.P. Petitcolas. – Artech House, 2000.
11. Żurada J. Artificial neural nets / J. Żurada, M. Barski, W. Jędruch. – PWN, Warsaw, 1996.
12. Czyżewski A. Some methods for detection and interpolation of impulsive distortions in old audio recordings / Czyżewski A. – New York, 1995.
13. Czyżewski A. Digital Sound / Czyżewski A. – EXIT Warsaw, 2001.