THE DETECTION AND MITIGATION OF WORMHOLE ATTACK IN MOBILE AD-HOC NETWORK (MANET) /

Tahboush, Muhannad Awad Abdullah M.

THE DETECTION AND MITIGATION OF WORMHOLE ATTACK IN MOBILE AD-HOC NETWORK (MANET) / Muhannad Awad Abdallah M Tahboush; Supervisor:Asst. Prof. Dr. Mary Agoyi - 122 sheets; 31 cm. Includes CD

Thesis (PHD.) - Cyprus International University. Institute of Graduate Studies and Research Computer Engineering Department

Includes bibliography (sheets 112-122)

ABSTRACT
Mobile Ad-hoc Network (MANET) is a popular technology that is used in the wireless
network. MANET is a self-organizing mobile node that can communicate with each
other directly without any centralized router and fixed infrastructure. MANET has a
dynamic operation, where a node can enter the network or leaves from the network.
Therefore, it is not easy to ensure that nodes are trustworthy or not. MANET suffers
from different types of attacks and security threats. One of these attack is the wormhole
attack. A wormhole attacks belong to most severe routing threats as they are able to
disrupt a major part of the network traffic. Wormhole attack has been a major threat to
MANET, therefore, various algorithms have been proposed to detect the wormhole
attack, but still suffering from a unified solutions, and efficient detection for mobile
ad-hoc network. Therefore, this thesis presents a detection algorithm called hybrid
wormhole attack detection algorithm (HWAD) which is effective for all wormhole
types, in-band and out-of-band attack. The algorithm also incurs low energy
consumption and delay rates, for a variety of MANET scenarios. The proposed
algorithm (HWAD) depends on checking whether every single node was affected by
a wormhole or not, and then it performs the selection of the appropriate and safe route
based on the transmission range, round trip time and packet delivery ratio to obtain
high accuracy of detection the wormhole attack. HWAD does not based on any type
of hardware equipment’s and middleware as well. The proposed hybrid algorithm
HWAD was implemented through NS-2 network simulator. The performance metrics
was taking into consideration to evaluate the proposed algorithm are detection rate,
false positive rate, false negative rate, throughput, end to end delay, packet delivery
ratio, packet loss ratio, routing overhead, and consuming energy. The simulation
experimental results shown the key network performance metrics of the proposed
approach HWAD outperformed in wormhole detection in comparison with other
algorithms. HWAD performs exceptionally well, and can provide a high wormhole
attack detection rate (DR) about 91% when the network density full with nodes.
Extensive experimental results have verified the effectiveness and the efficiency of
HWAD.


Computer networks--Dissertations, Academic
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