Evaluation of Traffic Models under Multiple Black hole Attack in Wireless Mesh Network

Dr. Pushpender Sarao
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Abstract

Wireless networks are the networks in which data communication is done through the wireless channels and wireless nodes. In such type of the networks, cooperation of the all nodes is required. Due to which, chances of security attacks is possible and network performance and security is badly affected. Black hole attack is a security attack comes under the active, internal as well as external attacks. In black hole attack, malicious node presents a suitable, shortest and low cost path. If the above path is selected for data transmission, malicious node drops the received packets and as a result performance of the network is degraded. In this paper, impact of Random Direction (RD) and Reference Point Group Mobility (RPGM) models have been analyzed for wireless mesh network in the presence of multiple black hole attacks. By varying the number of network connections and node density, (Ad hoc on demand distance vector) AODV routing protocol is evaluated. Normalized routing load, average end to end delay, average throughput, and total number of packets received are considered as performance metrics. Bonn-motion tool has been used to create the scenario of mobility models. In the presence of black hole attack, and under RPGM mobility model, AODV routing protocol presents better results in respect of average throughput, normalized routing load. Simulation work has been carried out on network simulator version NS-2.35.
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无线网状网络多重黑洞攻击下的流量模型评估
无线网络是通过无线信道和无线节点进行数据通信的网络。在这种类型的网络中,需要所有节点的合作。因此,有可能受到安全攻击,严重影响网络性能和安全性。黑洞攻击是一种安全攻击下的主动攻击,既有内部攻击,也有外部攻击。在黑洞攻击中,恶意节点提供了一条合适的、最短的、低代价的路径。如果选择上述路径进行数据传输,恶意节点会丢弃接收到的数据包,导致网络性能下降。本文分析了随机方向(RD)和参考点群移动(RPGM)模型对存在多重黑洞攻击的无线网状网络的影响。通过改变网络连接数和节点密度,评估(Ad hoc on demand distance vector) AODV路由协议。标准化路由负载、平均端到端延迟、平均吞吐量和接收的数据包总数被视为性能指标。波恩运动工具已被用于创建移动模型的场景。在黑洞攻击存在的情况下,在RPGM迁移模型下,AODV路由协议在平均吞吐量、归一化路由负载方面表现出较好的性能。在NS-2.35网络模拟器上进行了仿真工作。
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