Improving Security of Audio Watermarking in Image using Selector Keys

This study presents a novel watermarking algorithm for improving the security and robustness of hiding audio data in an image. Multi resolution discrete wavelet transform is used for embedding the audio watermark in an image. In this context, security is quantified from an information theoretic point of view by means of the equivocation and information leakage of the secret parameters. The selector keys are used as a criterion to determine the location of appropriate wavelet blocks and wavelet coefficients for embedding the watermark. Also, simulations assess the security levels derived in the theoretical part of the paper. The experimental results demonstrate that using the selector keys enhance the security level of the watermark embedding for a variety of scenarios. The level of the algorithm robustness is shown by considering Normalized Correlation (NC) between the original audio watermark and extracted watermark.