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Energy efficient filtering method in sensor networks

机译:传感器网络中的节能过滤方法

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摘要

Wireless sensor networks (WSN) sense and report interesting events in the sensor field to users. Usually, the sensor field for WSN is hostile and lacks infrastructure, so WSNs are exposed to security threats. In false report injection attacks, attackers inject false reports into the network through compromised nodes. Among many countermeasures to the attacks, the statistical en-route filtering scheme (SEF) detects and drops false reports by collaborative generation and verification of event reports by sensor nodes. In SEF, each node verifies received reports based on a pre-determined probability without consideration of sending nodes, consuming unnecessary energy for report verification. In this paper, we propose an energy-efficient filtering method for sensor networks. In the method, each node controls its verification probabilities for event reports, which depend on sending nodes. The number of recent valid reports and the false traffic ratio of each neighbor node are used to determine the verification probability for each node. We confirmed that our method uses energy efficiently without weakening en-route filtering capability.
机译:无线传感器网络(WSN)可以感应并向用户报告传感器领域中的有趣事件。通常,WSN的传感器领域是敌对的,缺乏基础设施,因此WSN面临安全威胁。在虚假报告注入攻击中,攻击者通过受感染的节点将虚假报告注入网络。在许多针对攻击的对策中,统计途中过滤方案(SEF)通过传感器节点的协作生成和事件报告验证来检测并丢弃虚假报告。在SEF中,每个节点都基于预定概率验证接收到的报告,而无需考虑发送节点,从而浪费了不必要的能量来进行报告验证。在本文中,我们提出了一种用于传感器网络的节能过滤方法。在该方法中,每个节点控制其事件报告的验证概率,这取决于发送节点。最近有效报告的数量和每个邻居节点的错误流量比率用于确定每个节点的验证概率。我们确认,我们的方法有效利用了能源,而不会削弱路途过滤能力。

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