الفهرس | Only 14 pages are availabe for public view |
Abstract V The development of the Internet and the modern communication technology led to the development of hacking techniques. So, there is a need for developing security tools for the multimedia content. One of such security tools is watermarking. Watermarking can be performed on image as well as audio signals. Watermarking aims to embed some piece of information in host signals for copyright protection and authentication applications. Watermarking needs to satisfy some requirements such as imperceptibility, robustness, high capacity and good quality of cover signal. This thesis presents an efficient audio watermarking scheme based on Singular Value Decomposition (SVD) due to its robustness to attacks. In addition, the Fractional Fourier Transform (FRT) is utilized as an additional tool for security. Simulation results prove the success of the proposed audio watermarking scheme based on SVD and FRT. In addition, another trend of security is presented in the thesis, which is cancelable speaker identification. Fake signatures are generated for speakers to save their original signatures from being hacked. The generation of the fake templates is performed using the SVD watermarking scheme in the FRT domain but looking from another perspective. This is guaranteed through using large weights for the inserted watermarks to perform deformation of original audio signals. These deformed signals are used as fake templates of speakers. LLR, SNR Verification in this scenario is performed through correlation estimation keeping the original audio signals protected. The proposed schemes in this thesis were tested with noise attacks to verify their high robustness. |