Performance study of Sybil attacks detection in VANETs

العناوين الأخرى

دراسة أداء هجمات السبيل في الشبكات الآنية للمركبات

مقدم أطروحة جامعية

Hamdan, Salam Ibrahim

مشرف أطروحة جامعية

Tidmuri, Sarah
al-Qassas, Rad

أعضاء اللجنة

Qasaymah, Malik Ghazi
Abu Saymih, Hisham

الجامعة

جامعة الأميرة سمية للتكنولوجيا

الكلية

كلية الملك الحسين لعلوم الحوسبة

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2015

الملخص الإنجليزي

Sybil attack is one of the serious attacks to Vehicular Ad hoc Networks (VANET).

In a Sybil attack, a malicious node illegitimately claims multiple identities and simultaneously exploits these fake identities, in order to disturb the functionality of the VANET by disseminating false information.

In the presence of Sybil attack any attack can be launched, threatening the lives of drivers and passengers.

This research provides a comprehensive review and comparison of the different techniques that have been proposed in the literature and a performance evaluation for two selected schemes, Privacy-Preserving Detection of Abuses of pseudonyms (P2DAP) and footprint.

These two schemes are in the same class that depends on encryption and authentication.

In the encryption and authentication methods, Sybil attack detection is based on the authentication mechanism and public key cryptography.

They are selected because the authors developed their schemes using the position verification class which is relies on the nodes position and that each position is associated with only one identity.

P2DAP depends on hashing pseudonyms, and footprint depends on series of certificates.

A xii performance evaluation has been performed using ns2 simulator, depending on several parameters number of nodes, speed and number of attackers.

The results show that P2DAP perform better when the number of nodes increases and footprint perform better in highways environment therefore there is no adequate solution for all streets kinds, the good solution must be selected according to the nature of the street.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

عدد الصفحات

68

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Background.

Chapter Three : Applied schemes.

Chapter Four : Performance evaluation.

Chapter Five : Conclusion and future work.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hamdan, Salam Ibrahim. (2015). Performance study of Sybil attacks detection in VANETs. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-651105

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hamdan, Salam Ibrahim. Performance study of Sybil attacks detection in VANETs. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2015).
https://search.emarefa.net/detail/BIM-651105

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hamdan, Salam Ibrahim. (2015). Performance study of Sybil attacks detection in VANETs. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-651105

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-651105