Cyber Security Attacks on Vehicle Ad-hoc Network
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Date
2020
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Publisher
Saudi Digital Library
Abstract
Vehicle Ad hoc Network (VANET) technology arose from the mobile
ad-hoc network (MANET). The first mention of the term was in 2003. VANET
allows vehicles to communicate with other vehicles and other Intelligent
Transport Systems (ITS) facilities in their location range. The widespread use
of VANET necessitates attention to security issues, to ensure that VANET
systems and applications are secure and protected from misbehavior attacks and
abnormal use. VANET is a low-level trust environment, meaning that anyone
can have a used vehicle in the VANET environment. For this, attackers can fake
or manipulate the network that broadcasts messages among vehicles.
Additionally, a stable and secure VANET environment would allow the
integration of VANET security with smart cities. This thesis aims to conduct a
literature review and identify the security requirements needed to achieve a
secure VANET environment. It also aims to develop an application to identify
a VANET cybersecurity attack, focusing on attacks that target other vehicles’
location and identity and the ability to detect previous attacks. The goal will beachieved using a proposed algorithm that checks parameters such as vehicle
identity sequence of location and speed. The thesis starts by introducing
VANET architecture, communication, and applications. Then it provides a
thorough review of the high-impact papers from the VANET field that explain
VANET’s wide-ranging categories of architecture, layers, and applications. The
important security requirements are then defined based on the three-information
security triangle, emphasizing the VANET environment. For this thesis, an
application of misbehaving attacks on the positioning and identity of VANET
vehicles has been developed. Then, the outputs of the application use to analyze
the misbehaviors attacks. Besides, the extracted dataset was used to apply a
machine learning classification to analyze the attacks. The thesis provides a
thorough discussion of the development of the application, analysis, and results.
Finally, the proposed algorithm that can detect the misbehavior attack on
vehicle location positioning and identity is introduced. All of that is important
for humans' road safety and life protection.