Robust watermarking of audio with blind self-authentication
EHAC'08 Proceedings of the 7th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
Blind tamper detection in audio using chirp based robust watermarking
WSEAS Transactions on Signal Processing
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In this thesis, we propose a Discrete Wavelet Transform..DWT..based Audio Watermarking (DAW) for Mobile Ad Hoc Network (MANET). With the Discrete Wavelet Transform..DWT.., the audio signal can be transformed into frequency domain ranging from low frequency to high frequency. Besides, the high frequency spectrum is less sensitive to human ear. That is the reason why the high frequency component is usually discarded in the compression process. Therefore, information to be hidden can be embedded into the low frequency component to against the compression attack. The characteristic of this scheme is that the user can not only use the DAW to embed the text file in to the audio but also use the text file to be the network IP address connect to the network by the MANET.