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A Method for the Enhancement of the Detection Power and Energy Savings against False Data Injection Attacks in Wireless Sensor Networks

机译:无线传感器网络中针对虚假数据注入攻击的检测功率和节能增强方法

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Malicious attackers spread various attacks to destroy the system of the sensor network. False report injection attacks occur on the application layer and drain the energy resources of each node. Statistical en-route filtering (SEF) is proposed to detect and drop false reports in intermediate nodes during the forwarding process. In this work, we propose a security method to improve the detection power and energy savings using four types of keys. The performance of the proposed method was evaluated and compared to that of SEF against the attack. Our experimental results reveal that our method improves detection power and energy savings by up to 25% and 9%, respectively.
机译:恶意攻击者散布各种攻击来破坏传感器网络的系统。错误的报告注入攻击发生在应用程序层上,并耗尽了每个节点的能源。提出了统计途中过滤(SEF),以在转发过程中检测并丢弃中间节点中的虚假报告。在这项工作中,我们提出了一种安全方法,可以使用四种类型的按键来提高检测能力和节能效果。评估了所提出方法的性能,并将其与SEF抵御攻击的性能进行了比较。我们的实验结果表明,我们的方法分别将检测功率和能源节省分别提高了25%和9%。

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