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A neighbor's trust based model for prevention of black hole attack in wireless modile ad hoc networks

机译:基于邻居信任的无线模块化Ad hoc网络中防止黑洞攻击的模型

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摘要

Implementing Ad hoc networks are becoming very prevalent during recent years. Security is the most important issue for developing mobile ad hoc networks (MANETs). They expose to various kinds of attacks because of their unique nature in which every node can easily join to network or leave it. Black hole attack is the most probable attack in MANET. In this research we proposed a model for prevention of this attack. It judges on route replies coming from the intermediate node based on a trusted third party which is the destination node. If the source node received an acknowledgement on the route replies sending by an intermediate node, from destination during a specific time, it decides that the path is safe and intermediate node is not malicious. Meanwhile a counter will be set for counting the number of times that each intermediate node introduced a wrong route reply. Every node that proposes a wrong route reply will be recorded in a black list. The process also will be checked for all one hop neighbors of the suspicious node and the history of these nodes will be gathered in the black list, if they proposed a wrong route reply during the route discovery process. When the counter for each node exceed from a specific value, the suspicious nodes will be introduced as black holes and an alarm will be notified to all nodes in the network to remove these malicious nodes from their routing tables. Experimental results show that this model proposes a high rate of packet delivery ratio, with 88% improving network throughput compared with a network exposing in attack situation and decreasing the rate of end to end delay with 38% less than attack situation.
机译:近年来,实施Ad hoc网络变得非常普遍。安全性是开发移动自组织网络(MANET)的最重要问题。由于它们的独特性,它们容易遭受各种攻击,每个节点都可以轻松地加入网络或离开网络。黑洞攻击是MANET中最可能的攻击。在这项研究中,我们提出了一种预防这种攻击的模型。它基于作为目的节点的受信任的第三方来判断来自中间节点的路由答复。如果源节点收到中间节点在特定时间内从目的地发送的路由回复的确认,则表明该路径是安全的并且中间节点不是恶意的。同时,将设置一个计数器,用于计算每个中间节点引入错误路由回复的次数。每个提出错误路由答复的节点都将记录在黑名单中。如果可疑节点的所有单跳邻居都在路由发现过程中提出了错误的路由答复,则还将检查该过程,并将这些节点的历史记录收集到黑名单中。当每个节点的计数器超过特定值时,可疑节点将被引入黑洞,并向网络中的所有节点发出警报,以将这些恶意节点从其路由表中删除。实验结果表明,该模型提出了较高的数据包传输率,与处于攻击状态的网络相比,提高了88%的网络吞吐量,并且将端到端的延迟率降低了38%。

著录项

  • 作者

    Araghi Tanya Koohpayeh;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 en
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