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  • الدراسات العليا

        الدراسات العليا في قسم هندسة الحاسوب: الجدول الاسبوعي المنهج الدراسي الاطاريح والرسائل شؤون الدراسات العليا شؤون الطلبة المبتعثين المواد الدراسية الخاصة بالامتحان التنافسي المستمسكات المطلوبة للتقديم للدراسات العليا جدول توقيتات التقديم والقبول بالدراسات العليا نظام التقديم و القبول للدراسات العليا مواصفات كتابة الرسالة او الاطروحة تحميل قالب الاطروحة  

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  • الخطة الدراسية

         الخطة الدراسية للفروع العلمية: هندسة المعلومات هندسة شبكات الحاسوب

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  • الخريجون

    خريجو القسم للدراسات الاولية و الدراسات العليا

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  • المحاضرات

    اطلع على اخر المحاضرات المنشورة من قبل اساتذة القسم

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  • التعليم الالكتروني

    DEPARTMENT OF COMPUTER Engineering - UNIVERSITY OF TECHNOLOGY E-LEARNING USING GOOGLE CLASSROOM تم تفعيل التعليم الإلكتروني في قسم هندسة الحاسوب حسب توجيهات رئاسة الجامعة التكنولوجية وحسب الخطوات التالي: - تصميم وإطلاق إستمارة التسجيل للحصول على البريد الرسمي لطلبة الدراسات الاولية على الرابط (https://goo.gl/YVKxS6) و طلبــة الدراســـات الـــعليا علــى الــــرابط (https://goo.gl/uDuKkB).  - مخاطبة مركز تكنولوجيا المعلومات لإنشاء الحسابات الرسمية للطلبة المسجلين. - البدء بإنشاء الصفوف الإلكترونية للدراسات العليا وإضافة التدريسيين وطلابهم حسب المواد العلمية.   فيديو تعريفي عن كيفية إستعمال بيئة التعليم الإلكتروني Google Classroom الجدول الاسبوعي للدراسة الصباحية الجدول الاسبوعي للدراسة المسائية    

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  • مشاريع التخرج

    مشاريع تخرج الطلبة الخاصة بقسم هندسة الحاسوب

الدراسات العليا

علي صادق سالم

Abstract

 

Software-Defined network (SDN) a powerful and flexible network model, is currently being standardized. SDN capabilities can significantly improve the performance of campus networks and to overcome the problems of traditional networks for improving Quality of Service QoS. Therefore, many studies have focused on enhancing campus networks using SDN.

The proposed system applies a Deep Q-Network (DQN) algorithm to a campus network (University of Technology) as a case study. This system employs a dual-method approach for optimizing network’s (QoS), which classifies service types. It directs TCP traffic through (DQN) for intelligent routing, whereas UDP traffic is managed using Dijkstra's algorithm for shortest-path selection. This hybrid model leverages the strengths of both machine-learning and classical algorithms to ensure efficient resource allocation and high-quality data transmission. The proposed system aims to combine the adaptability of the DQN with the proven reliability of Dijkstra's algorithm to dynamically enhance network performance to enhance the QoS by improving the throughput and minimize the latency.

In our comparative study, the proposed system, which utilizes both (DQN) for TCP traffic and Dijkstra's algorithm for UDP traffic, was benchmarked against two other algorithms: an advanced version of Dijkstra's algorithm that we designed and implemented, as well as a Q-learning-based approach. Three custom topologies with three different loads were used to check QoS.

The results show that our proposed system has a better performance, especially in complex topologies under medium and heavy loads, when compared with Q-learning and the designed Dijkstra algorithms. In UOT (our case study) the improvement of the proposed system comparing with Adv. Dijkstra were (57%, 21% and 42%) for throughput, latency and jitter respectively. The improvement of the proposed system comparing with QL algorithm were (37%, 22% and 33%) for throughput, latency and jitter respectively. 

ميعاد حسام مهدي

ABSTRACT

Many banks use wired and wireless communication networks to provide bank services for their customers. As hardly any banking system is devoid of communication networks at the present time. Almost, these networks consisted of many devices including computers, laptops, etc. Since wireless networks are exposed to many attacks, the banks will fail to use wireless networks without security. Therefore, providing confidentiality and integrity for the data of the banks is considered a very necessary process.The QOD routing protocol assumes reliable participants; that is, all nodes are trusted. This means that the routing protocol did not take into account the attacks that could get into the network. However, hybrid wireless networks consisted of wireless links. Moreover, messages are sent throughout the network in a clear text which makes it susceptible to many attacks including message distortion, message reply, passive eavesdropping, active impersonation, etc. These attacks come from inside or outside the network This thesis provides security for hybrid wireless networks with two mechanisms. The first mechanism use encryption algorithms to protect the data from external attacks and prevent unauthorized access to the data. In this mechanism, two algorithms have been used including Advanced Encryption Standard (AES) algorithm and Rivest Shamir Adleman (RSA) algorithm. Since symmetric algorithms are faster than asymmetric algorithms, thus the AES algorithm is used to encrypt the exchanged data. However, the RSA algorithm is used to exchange the secret key or symmetric key of the AES among the nodes of the hybrid wireless network. The second mechanism was using the keyed Hash Message Authentication Code (HMAC) to provide integrity and authenticity for one of the routing protocols of hybrid wireless networks, which is the Quality of Service Oriented Distributed (QOD) routing protocol. NS2.35 is used as a network simulator to simulate our proposed work and compare the results with the QoS-Oriented Distributed (QOD) routing protocol in terms of throughput, overhead, delay, and packet delivery ratio (PDR). The results of the comparison between the two protocols as a consequence of using different simulation models (network, mobility, and traffic), showed that the security mechanisms often hinder the performance of the network. Therefore, there is a tradeoff between network performance and security.

مجموعات فرعية

الاعلانات والاحداث القادمة

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26 شباط/فبراير 2024
الجدول الاسبوعي الدراسة المسائية
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26 شباط/فبراير 2024
الجدول الاسبوعي الدراسة الصباحية  
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08 تشرين2/نوفمبر 2023
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05 تشرين2/نوفمبر 2023
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20 حزيران/يونيو 2023
  نتائج الامتحان التنافسي (الماجستير) للعام
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15 حزيران/يونيو 2023
03 شباط/فبراير 2023
جدول توقيتات التقديم والقبول بالدراسات العليا
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29 آب/أغسطس 2022
   جدول الامتحانات النهائية للدور الثاني للعام

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