Genetic Audio Watermarking
This paper presents a novel, principled approach to resolve the remained problems of substitution technique of audio watermarking. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. Substitution techniques have naturally high capacity, but two major problems, having low robustness and transparency, negate the advantage. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.
KeywordsData hiding substitution techniques audio watermarking artificial intelligence genetic algorithm
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