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Robust Data Hiding in Audio |
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Hafiz Malik, Ashfaq Khokhar, Rashid Ansari Dept. of Electrical and Computer Engineering University of Illinois at Chicago, Illinois, USA
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AbstractA novel high capacity data hiding technique for digital audio is proposed. Imperceptibility of the embedded data is ensured based on the masking property of the human auditory system (HAS). Audio signal is decomposed into subband signals, some of which are selected for embedding data using finite-length impulse response approximations to allpass digital filters. Data detection is based on finding the filter pole-zero locations, which is achieved by power spectrum estimation of the data embedded audio signal. Performance of the proposed scheme is evaluated for different data encoding strategies. The proposed method is robust to desynchronization attacks as well as other standard data manipulation attacks. |