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A Malicious and Malfunctioning Node Detection Scheme for Wireless Sensor Networks

机译:无线传感器网络的恶意和故障节点检测方案

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Wireless sensor networks are often used to monitor physical and environmental conditions in various regions where human access is limited. Due to limited resources and deployment in hostile environment, they are vulnerable to faults and malicious attacks. The sensor nodes affected or compromised can send erroneous data or misleading reports to base station. Hence identifying malicious and faulty nodes in an accurate and timely manner is important to provide reliable functioning of the networks. In this paper, we present a malicious and malfunctioning node detection scheme using dual-weighted trust evaluation in a hierarchical sensor network. Malicious nodes are effectively detected in the presence of natural faults and noise without sacrificing fault-free nodes. Simulation results show that the proposed scheme outperforms some existing schemes in terms of mis-detection rate and event detection accuracy, while maintaining comparable performance in malicious node detection rate and false alarm rate.
机译:无线传感器网络通常用于监视人类访问受限的各个地区的物理和环境状况。由于有限的资源和在敌对环境中的部署,它们很容易遭受故障和恶意攻击。受影响或受损的传感器节点可能会向基站发送错误数据或误导性报告。因此,准确,及时地识别恶意节点和故障节点对于提供可靠的网络功能很重要。在本文中,我们提出了一种在分层传感器网络中使用双重加权信任评估的恶意和故障节点检测方案。在存在自然故障和噪声的情况下,可以有效检测恶意节点,而不会牺牲无故障节点。仿真结果表明,该方案在误检测率和事件检测精度上均优于现有方案,在恶意节点检测率和虚警率上均保持了可比的性能。

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