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Classification and determination of physical intrusion using Wireless Sensor Networks

机译:使用无线传感器网络分类和确定物理入侵

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In this Paper, we present a Proof of concept developed for intrusion Detection system using Wireless Sensor Network (WSN). Network Infrastructure is developed using WSN modules having Plugin sensors. An Algorithm to detect the Physical Intrusion and classify it as Human or Vehicle has been proposed. This Algorithm uses the concept of Anomaly based detection. The Threshold levels for detection and classification have been fixed by Trial and Error after conducting various field tests. The algorithm is able to successfully Detect and Classify the Physical Intrusion, the results of which have been shown in the Paper.
机译:在本文中,我们介绍了为使用无线传感器网络(WSN)的入侵检测系统开发的概念证明。网络基础结构是使用具有插件传感器的WSN模块开发的。提出了一种检测物理入侵并将其分类为人类或车辆的算法。该算法使用基于异常的检测的概念。在进行各种现场测试后,“试错”已确定了检测和分类的阈值级别。该算法能够成功检测和分类物理入侵,其结果已在论文中显示。

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