Adaptive detection of position falsification in VANETs
Other Title(s)
الكشف المتكيف لتزوير المواقع في شبكات المركبات
Dissertant
Thesis advisor
Kargl, Frank
Abu Sharkh, Usamah M. F.
Comitee Members
Hawa, Muhammad
Hasan, Mahmud Abd al-Muhsin
al-Hajj, Ali
University
Princess Sumaya University for Technology
Faculty
King Abdullah II Faculty of Engineering
Department
Department Electrical Engineering
University Country
Jordan
Degree
Master
Degree Date
2015
English Abstract
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.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
109
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Related work.
Chapter Three : Methods and procedures.
Chapter Four : Design and implementation.
Chapter Five : Results and discussion.
Chapter Six : Conclusion.
References.
American Psychological Association (APA)
al-Mumani, Ala. (2015). Adaptive detection of position falsification in VANETs. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-650884
Modern Language Association (MLA)
al-Mumani, Ala. Adaptive detection of position falsification in VANETs. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2015).
https://search.emarefa.net/detail/BIM-650884
American Medical Association (AMA)
al-Mumani, Ala. (2015). Adaptive detection of position falsification in VANETs. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-650884
Language
English
Data Type
Arab Theses
Record ID
BIM-650884
