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Distributed Malicious Nodes Detection in Wireless Sensor Networks

机译:无线传感器网络中的分布式恶意节点检测

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Data theft and node attack in wireless sensor networks causes great damage to the networks and the attacker destroys network and obtains the data of the network by malicious nodes distributed in the network. Therefore, it is necessary to detect these malicious nodes and to eliminate their influence. We propose a distributed malicious nodes detection protocol which called BMND based on Bayesian voting, every node determine its suspected malicious nodes by its request message and abnormal behavior. Also, we determine the malicious nodes by Bayesian voting, so that the network can protect itself from such malicious nodes' influence. The simulation results show that our algorithm has good performance in both the detection rate and false positive rate.
机译:无线传感器网络中的数据盗窃和节点攻击对网络导致巨大损坏,攻击者通过在网络中分发的恶意节点来获取网络的数据。因此,有必要检测这些恶意节点并消除它们的影响。我们提出了一个分布式恶意节点检测协议,该检测协议基于贝叶斯投票称为BMND,每个节点通过其请求消息和异常行为确定其疑似恶意节点。此外,我们通过贝叶斯投票确定恶意节点,以便网络可以保护自己免受这种恶意节点的影响。仿真结果表明,我们的算法在检测率和假阳性率方面具有良好的性能。

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