Enhanced AODV protocol against black hole attack based on classification algorithm

العناوين الأخرى

بروتوكول AODV محسن للكشف عن هجمات الثقب الأسود باستخدام خوارزمية تصنيف

مقدم أطروحة جامعية

Athaminah, al-Muhannad Muhsin Ali

مشرف أطروحة جامعية

al-Rifai, Hasan Muhammad

الجامعة

جامعة فيلادلفيا

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2018

الملخص الإنجليزي

Covering areas that do not have ready infrastructures to support network connections, has become one of the most demand topics.

Mobile ad hoc network (MANET).

Were the solution for this problem, were protocols like Ad Hoc On-Demand Distance Vector (AODV) take action to manage the devices inside.

As a result of such network characteristics AODV protocol were vulnerable to list of attacks like denial-of-service (DOS).

Attacks which contain attacks like black hole and worm whole attacks.

In this research new algorithm for black hole attack detection and prevention were presented based on four features extracted from the AODV protocol which are (Total number of Packets Dropped, Route Error, Rout Reply, and sequence number) .Ready data set was used to select best features related to black hole attack using symmetrical uncertainty (SU) feature selector based on WEKA tool.

The four features were evaluated by classification method called J48 in order to proof their capability of defining black hole nodes.

Moreover, the presented algorithm implements very simple test classification criteria over the regular AODV protocol to allow detection and sharing the black nodes identities.

The results of the experimental results were implemented using Global Mobile Information System Simulator(GlomoSim) simulator over 50 nodes, and compared to 3 other previously proposed algorithms (Standard AODV, behavior-driven development (BDD-AODV), and Artificial neural network Ad Hoc On-Demand Distance Vector(ANN-AODV), where the new proposed algorithm proofed its capability in detecting and preventing black hole attacks with higher efficiency average on END-TO-END time delay, lower overhead factor, and higher packet delivery ration packet delivery ratio (PDR) than all other three algorithms.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• الخوارزميات
• الثقب الأسود

عدد الصفحات

64

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-955251