Adaptive detection of position falsification in VANETs

العناوين الأخرى

الكشف المتكيف لتزوير المواقع في شبكات المركبات

مقدم أطروحة جامعية

al-Mumani, Ala

مشرف أطروحة جامعية

Kargl, Frank
Abu Sharkh, Usamah M. F.

أعضاء اللجنة

Hawa, Muhammad
Hasan, Mahmud Abd al-Muhsin
al-Hajj, Ali

الجامعة

جامعة الأميرة سمية للتكنولوجيا

الكلية

كلية الملك عبدالله الثاني للهندسة

القسم الأكاديمي

قسم الهندسة الالكترونية

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2015

الملخص الإنجليزي

Vehicular Ad hoc Networks (VANETs) are promising technology toward enhancing safety on roads and increasing traffic efficiency.

A VANET is a network consists of smart vehicles, which are On-Board Units (OBUs) communicate with each other in the form of Vehicle-to-Vehicle (V2V) communication.

Vehicles are required to periodically broadcast their status in “Beacons”; status includes the current position, speed, and heading.

Such information should be correct in order to avoid threatening road-users safety, and to avoid the impact on routing decisions.

Otherwise, if the disseminated information is incorrect, it should be detected.

In this thesis, a framework for position falsification detection in VANETs is proposed, under different attack scenarios, the proposed framework shows robustness and flexibility in detecting such attacks.

The framework combines three existing mechanisms with some slight modification; the ART sensor, the overlap detector and the proactive exchange of neighbors LDMs.

Subjective logic is used to merge the mechanisms’ outputs together after mapping them to be in the form of subjective logic opinions.

The simulation results show that the proposed framework has higher detection rate than the individual adopted mechanisms under all attack scenarios.

Though, it suffers from relatively higher false positives rate than the individual mechanisms.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• التقييم

عدد الصفحات

109

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-650884