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A novel Approach to avoid malicious attack to enhance network in WSN

机译:一种避免恶意攻击在WSN中加强网络的新方法

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The MANET [mobile ad-hoc network] is most popular and most applicable term and MANET consists of number of mobile nodes, and each independent node in the MANET can communicate with the other node without any wire connections. In the presence of malicious nodes in the MANET, Leads to serious security problem because it will disturb the entire routing processes. So in this paper we are introducing a new method to solve this problem. This papergives a new method called CBDS [co-operative bait discovery method] to detect a malicious attack caused by malicious nodes in the MANET, and establish the efficient route in the network to carry the data from source node to destination node without any data loss and establish the efficient route by using the routing scheme called DSR [Dynamic source routing scheme]. This CBDS method implements a new technique to detect the exact position of malicious nodes in the network called Reverse trapping technique. The CBDS scheme takes the advantage of both proactive and reactive mechanism to achieve the goal of this paper. Simulation results are shown, this simulation results of our CBDS scheme is compare with the existing scheme called DSR scheme in relations of delay, routing overhead, PDR (Packet delivery ratio) and finally Throughput.
机译:MANET [移动ad-hoc网络]是最受欢迎的,最适用的术语和manet由移动节点数量组成,并且MANET中的每个独立节点都可以与其他节点通信,而无需任何电线连接。在MANET中的恶意节点存在下,导致严重的安全问题,因为它会使整个路由流程扰乱。所以在本文中,我们正在引入一种解决这个问题的新方法。本文造成了一种名为CBDS [合作诱饵发现方法]的新方法,以检测由MANET中的恶意节点引起的恶意攻击,并在网络中建立高效路由,将数据从源节点携带到目标节点而不进行任何数据丢失并通过使用称为DSR [动态源路由方案]的路由方案来建立有效路径。该CBD方法实现了一种新的技术来检测网络中恶意节点的确切位置,称为反向捕获技术。 CBDS方案利用主动和反应机制来实现本文的目标。显示了仿真结果,我们CBDS方案的这种仿真结果与延迟关系,路由开销,PDR(数据包交付比率)和最终吞吐量的现有方案与DSR方案的现有方案进行比较。

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