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Distributed Denial of Service attack (DDOS) on Vehicular Ad Hoc Networks (VANETs) is considered to be one of the most serious types of attacks that can be targeted to those networks. The danger of this attack is in the difficulty of detection becau se of the cooperation of several attacking nodes in the network, and its impact on the availability requirement that is one of the most important security requirements in a network offering real-time applications .In our research, we study the effect of this attack on VANET network in the city, taking into consideration two cases. In the first case the target of the attack is the nodes, while in the second one, the target is the road side units (RSU). Simulation results have shown that this attack has a significant impact on both cases, by comparing the basic parameters of the network, such as throughput in/out and the number of dropped packets, before and after the attack.
A Vehicular Ad-hoc Network (VANET) is a collection of nodes forming a wireless network, but the nodes of this network are vehicles with special equipment that enable them to communicate with each other. VANET protocols have to face high challenges due to dynamically changing topologies, link breakage and low vehicular density. A suitable and effective routing protocol helps to ensure that messages are reached to their destinations and achieve the desired aim of the application. In this research, we present an analysis of the performance of two major routing protocols used in these networks, which are AODV (Ad hoc On-Demand Distance Vector) and GPSR (Greedy Perimeter Stateless Routing). This analysis is based on various parameters such as end-to-end delay and average dropped packets, in order to find the best protocol which can be used in the network with low density at the junctions. To achieve this purpose, we used a simulator OPNET_17.5. Depending on the simulation results, we have obtained and the analysis and comparison of two protocols at different low density contract. We found that GPSR protocol has better performance end-to-end delay and average dropped packets are used as the performance metrics, and is better for VANET under the low vehicular density simulation scenario at junctions.
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.
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