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An anomaly detection technique-based intrusion detection system for wireless sensor network

机译:基于异常检测技术的无线传感器网络入侵检测系统

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摘要

In Wireless Sensor Networks (WSN), it is challenging to detect the compromised node. A compromised node is a kind of node which doesn't have features like another normal node, and it can be an intruder or harmful for the network. In the homogeneous WSN, nodes have similar behaviour; this is the main reason that detecting compromised nodes is challenging. We have applied the anomaly technique to identify compromised nodes. We have chosen four specific parameters which decide the behaviour of nodes; we have selected some Intrusion Detection System (IDS) operator and trained them. Selection will be made by internal congestion within a node. The IDS operators has been chosen in such a manner that every node is in the radio range of at least one IDS operator. Learning of IDS operator is based on behaviour's parameters of nodes. After detection of an intruder, the IDS will notify the sink node.
机译:在无线传感器网络(WSN)中,检测受损节点是挑战性的。受损的节点是一种没有像另一个正常节点的功能的节点,它可以是网络的入侵者或有害。在均匀的WSN中,节点具有类似的行为;这是检测受损节点的主要原因是具有挑战性的。我们应用了异常技术来识别受损节点。我们选择了四个决定节点行为的特定参数;我们选择了一些入侵检测系统(IDS)操作员并培训了它们。选择将通过节点内的内部拥塞进行。已经选择了IDS运算符,使每个节点在至少一个IDS运算符的无线电范围内。 IDS运算符的学习基于行为的节点参数。在检测到入侵者之后,ID将通知汇聚节点。

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