DATA-HIDING IN AUDIO USING frequency-selective Phase alteration

 

Hafiz Malik, Ashfaq Khokhar, Rashid Ansari

Dept. of Electrical and Computer Engineering University of Illinois at Chicago, Illinois, USA

 

Abstract

A novel perception-based data hiding technique for digital audio is proposed. It exploits lower sensitivity of human auditory system (HAS) to phase distortion in audio compared with magnitude distortion. Audio is decomposed into subband signals some of which are selected for embedding data with a controlled alteration of phase using suitable allpass digital filters. The proposed scheme is robust to standard data manipulations yielding less than 2% error probability against compression, re-sampling, re-quantization, random chopping and noise addition. The proposed method is also robust to the desynchronization attacks.

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