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Distinguish accurately known and unknown attack is a key element to classification model in order to increase detection accuracy of unknown attacks. This paper proposes ArtiAnomalyG algorithm which expands sparse region and injects anomaly instances given the class label anomaly into the training data. Filtering experiment result shows that possibility of causing the collision with original instances...
Coverage and connectivity are the key research questions in wireless sensor networks. Previous research background is homogeneous wireless sensor networks, which can simplify the problem, but along with the depth of the problem, have to consider covering whit heterogeneous node. Firstly, this paper classifies the heterogeneous wireless sensor networks systematically, and put forward heterogeneous...
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