A Vehicular Ad-hoc Network (VANET) is a group of vehicles, which have special
equipments enable them to connect with each other as a wireless network .The attacks are
considered as the most serious challenge against this network, especially those t
argeting
availability requirement, which is one of the most important security requirements in
VANET. The Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks
are the most important attacks since they make the network not available for actual users.
In this research, we present an algorithm to detect and face the DDoS attack. This
algorithm depends on a black list contains the IDs for malicious vehicles, which are being
chosen depending on a certain threshold value for a number of messages received from
them. We analyze the algorithm performance depending on throughput, packet delivery
ratio, end to end delay parameters, and compare it with the performance of the Queue
Limiting Algorithm (QLA) .To achieve this purpose, we use NS2.35 simulator using
details to support Wireless Access in Vehicular Environments (WAVE). The simulation
results showed that the proposed algorithm reduces the effect of the attack Significantly
since it increases the throughput and packet delivery ratio.