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Malicious node detection via physical layer data

机译:通过物理层数据检测恶意节点

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摘要

There are many mechanisms that can cause inadequate or unreliable information in sensor networks. A user of the network might be interested in detecting and classifying specific sensors nodes causing these problems. There are many network layer based trust mechanisms in the literature to assess these issues; in contrast this work develops physical layer based trust metrics to detect non-functioning nodes. The context will be “wireless network discovery,” which refers to modeling all layers of a non-cooperative wireless network. In particular, the localization of transmitters and the detection of sensors affecting the localization. A model for non-functioning sensors and two methods of detection are developed. The methods of detection are analyzed with Receiver Operating Characteristic (ROC) curves, and the sensor node trade-off of detection versus localization error is discussed.
机译:有许多机制会导致传感器网络中的信息不足或不可靠。网络用户可能会对检测和分类引起这些问题的特定传感器节点感兴趣。文献中有许多基于网络层的信任机制可以评估这些问题。相反,这项工作开发了基于物理层的信任度量来检测不起作用的节点。上下文将是“无线网络发现”,这是指对非合作无线网络的所有层进行建模。尤其是发射机的定位和传感器的检测会影响定位。开发了用于不起作用的传感器的模型和两种检测方法。利用接收器工作特性(ROC)曲线分析了检测方法,并讨论了传感器节点的检测与定位误差之间的权衡。

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