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Malicious nodes detection algorithm based on triangle module fusion operator in wireless sensor networks

机译：无线传感器网络中基于三角模块融合算子的恶意节点检测算法

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摘要

The characteristics of wireless sensor networks and its deployment environment determine that wireless sensor networks is vulnerable to intrusion. In this paper, a malicious nodes detection algorithm based on triangle module fusion operator (MDTMO) is proposed for selective forwarding attack. The algorithm establishes the membership functions according to data packets that received and forwarded by the node, it uses the fusion method of triangle module operator to determine the suspected malicious node. Subsequently, the base station node detects the buffer occupancy and channel occupancy of the suspected malicious node to judge whether the network is in congestion. If the network quality is good, it is considered that the packets loss is due to the selective forwarding attack instead of congestion, so the node is judged to be a malicious node. The experimental results show that compared with the algorithm in [6], MDTMO has improved performance in both the malicious nodes detection rate and false positive rate.
机译：无线传感器网络的特性及其部署环境决定了无线传感器网络很容易受到入侵。提出了一种基于三角模块融合算子（MDTMO）的恶意节点检测算法，用于选择性转发攻击。该算法根据节点接收和转发的数据包建立隶属度函数，采用三角模块算子的融合方法确定可疑恶意节点。随后，基站节点检测可疑恶意节点的缓冲区占用率和信道占用率，以判断网络是否处于拥塞状态。如果网络质量良好，则认为丢包是由于选择性转发攻击而不是拥塞引起的，因此将该节点判断为恶意节点。实验结果表明，与文献[6]中的算法相比，MDTMO的恶意节点检测率和误报率均得到了提高。

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