Thesis Archive
Audio Steganography Using Wavelet Transforms For Digital Audio Authentication (2009)
Charise Erika C. Alcontin, Christine Joy B. Carolino., Jolly Ann A. Magundayao, advised by Rodolfo Anthony M. Semira, Jr.
Abstract:
-In this paper, a system for detecting copied music files using digital audio steganography is presented. The system has two components: the ASTEG (Audio Steganography) Embedder and the ASTEG Player. The encrypted covert data is embedded into the coefficients of host audio (cover signal) in integer wavelet domain using the ASTEG Embedder, producing a new protected audio signal (stego file). Whenever the stego file is attempted to be accessed through the ASTEG Player, the covert data is retrieved and compared with the existing file properties. When changes are detected with the file property, which is the case when the file is altered or copied, the audio file is flagged as “COPIED” and will not be accessed by the ASTEG Player. The protected stego signal has a near-original music quality, as proven by the average mean opinion score (MOS) of -0.2875(Slightly perceptible but not annoying) and the average signal-to-noise ration (SNR) of 5.9564 dB for the eight common music genres, bit error rate (BER) of 0 (Data was extracted without error) and mean square error (MSE) of 0.3213 (Very minimal error between the original file and stego file). This system is recommended to be incorporated in the music production system and music players in the market to prevent patronage of illegally copied music files.
Correspondence:
Rodolfo Anthony M. Semira, Jr.
[email protected]