Detecting Hidden Information from a Spread Spectrum Watermarked Signal by Genetic Algorithm

Spread spectrum audio watermarking (SSW) is one of the most secure techniques of audio watermarking. SSW hides information by spreading their spectrum which is called watermark and adding to a host signal as a watermarked signal. Spreading spectrum is done by a pseudo-noise (PN) sequence. In conventional SSW approaches, receiver must know PN sequence used at the transmitter and location of watermark in watermarked signal for detecting hidden information. It is contributed a high secure feature for this method since any unauthorized user who doesn´t access this information couldn´t detect hidden information. In this paper a novel approach based on genetic algorithm is proposed for recovering PN sequence and detecting location of watermark signal without any information from the transmitter. Using this approach unauthorized users could detect hidden information.