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首页> 外文期刊>International Journal of Advanced Networking and Applications >Performance Comparison of Cluster based and Threshold based Algorithms for Detection and Prevention of Cooperative Black Hole Attack in MANETs
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Performance Comparison of Cluster based and Threshold based Algorithms for Detection and Prevention of Cooperative Black Hole Attack in MANETs

机译:MANET中基于聚类和基于阈值的协同黑洞攻击检测与预防算法的性能比较。

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In mobile ad-hoc networks (MANET), the movement of the nodes may quickly change the networks topology resulting in the increase of the overhead message in topology maintenance. The nodes communicate with each other by exchanging the hello packet and constructing the neighbor list at each node. MANET is vulnerable to attacks such as black hole attack, gray hole attack, worm hole attack and sybil attack. A black hole attack makes a serious impact on routing, packet delivery ratio, throughput, and end to end delay of packets. In this paper, the performance comparison of clustering based and threshold based algorithms for detection and prevention of cooperative in MANETs is examined. In this study every node is monitored by its own cluster head (CH), while server (SV) monitors the entire network by channel overhearing method. Server computes the trust value based on sent and receive count of packets of the receiver node. It is implemented using AODV routing protocol in the NS2 simulations. The results are obtained by comparing the performance of clustering based and threshold based methods by varying the concentration of black hole nodes and are analyzed in terms of throughput, packet delivery ratio. The results demonstrate that the threshold based method outperforms the clustering based method in terms of throughput, packet delivery ratio and end to end delay.
机译:在移动自组织网络(MANET)中,节点的移动可能会快速更改网络拓扑,从而导致拓扑维护中开销消息的增加。节点通过交换hello数据包并在每个节点处构造邻居列表来相互通信。 MANET容易受到黑洞攻击,灰洞攻击,蠕虫洞攻击和sybil攻击等攻击。黑洞攻击会严重影响路由,数据包的传输率,吞吐量和数据包的端到端延迟。本文研究了基于聚类和基于阈值的算法在移动自组网中的检测和预防的性能比较。在本研究中,每个节点都由其自己的簇头(CH)监视,而服务器(SV)通过信道监听方法监视整个网络。服务器根据接收方节点的数据包发送和接收计数来计算信任值。它在NS2仿真中使用AODV路由协议实现。通过比较通过改变黑洞节点的浓度的基于聚类和基于阈值的方法的性能来获得结果,并在吞吐量,数据包传递率方面进行了分析。结果表明,基于阈值的方法在吞吐量,数据包传递率和端到端延迟方面均优于基于聚类的方法。

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