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العنوان
Securing Video Communication in Internet of Things Networks /
المؤلف
Mesrega, Ahmed Kamal Mostafa.
هيئة الاعداد
باحث / أحمد كمال مصطفي مسرجه
مشرف / حسام الدين حسين أحمد
مناقش / حسام الدين حسين أحمد
مناقش / معوض إبراهيم معوض دسوقي
الموضوع
Computer communication systems. Internet of Things.
تاريخ النشر
2022.
عدد الصفحات
118 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
31/3/2022
مكان الإجازة
جامعة المنوفية - كلية الهندسة الإلكترونية - هندسة الإلكترونيات والإتصالات الكهربية
الفهرس
Only 14 pages are availabe for public view

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Abstract

We offer three compression-encryption schemes in this thesis that could be utilized to protect video frames in Internet of Things (IoT) networks. IoT is a network that connect billions of things (devices) to the Internet. IoT will be the provider of many services in the future. The increased number of connections and devices will generate an excessive amount of data that will be vulnerable to network attacks.
Multimedia encryption is the major technology that ensures data confidentiality and integrity. Encryption algorithms are costly and complex in structure, with multiple encryption rounds wasting the devices limited energy. As a result, IoT networks can use lightweight cryptography.
The first scheme in this thesis is a High Efficiency Video Coding (HEVC) H.264/HEVC compression and Latin Square Cipher (LSC) encryption algorithm. This scheme improved the performance parameters and able to withstand cipher text-only, brute-force, chosen-plaintext, and known-plaintext attacks while providing protection, integrity, and security for the various transmitted 3D video frames.
A hybrid modified Advanced Encryption Standard (AES) with 1D, 2D chaotic map are used to encrypt Multi-view Video Coding (MVC) H.264/MVC video frames in the second scheme. XOR operations and chaotic map keys generator replace Add-Round-Key and S-box operations of the AES encryption. It struck a solid compromise between high security in AES and high throughput afforded by most chaos-based encryption algorithms.
The third scheme depends on a lightweight encryption algorithm that combines Feistel Network (FN) and Substitution-Permutation Network (SPN) in just three rounds to encrypt compressed HEVC frames to achieve the required integrity. It has improved the performance characteristics of compressed 3DV frames.
The main focus of this thesis is concerned with the encryption algorithms suitable for IoT applications. Our schemes can be a solution to achieve protection for different transmitted HEVC video frames in IoT networks. They have improved the performance parameters, able to withstand different network attacks, and have many desired properties of a secure ciphers compared to the state-of-the-art ones.