Abstract
The development of Internet has lead the technology to Internet of Things (IoT). As the Internet of Things is used for sending many types of data through many interconnected devices, the risk of stealing the data owner's right has been increased. But, even though this risk comes up, the high demand for sending data through IoT is still high. Thus, watermarking schemes is used for preventing this problem. Watermarking can be used for protecting the owner's rights in the form of a digital image, and this will be useful to be implemented in IoT. In this paper, an enhancement of Spread Spectrum (SS) based audio watermarking system against MP3 Compression attacks using Genetic Algorithm process is proposed. The main idea of the system will be using Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) as the pre-processing method and then using Multibit Spread Spectrum to embed the watermark. The simulation results show that the Genetic Algorithm could optimize between imperceptibility and robustness resulting a good result against the MP3 Compression attack.
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