Search In this Thesis
   Search In this Thesis  
العنوان
Performance Enhancement of Signal-based Multi-level Security Systems /
المؤلف
Aboagiza, Khaled Mohamed Abdelwahab.
هيئة الاعداد
باحث / خالد محمد عبد الوهاب ابو عجيزة
مشرف / سعيد محمد عبد العاطي
مناقش / ابراهيم محمد الدكانى
مناقش / محمد عبد العظيم محمد
الموضوع
Electronic security systems. Multimedia systems. Wireless communication systems
تاريخ النشر
2020.
عدد الصفحات
120 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
21/1/2020
مكان الإجازة
جامعة المنوفية - كلية الهندسة الإلكترونية - الالكترونيات والاتصالات الكهربية
الفهرس
Only 14 pages are availabe for public view

from 154

from 154

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.