Aug 29, 2016 · Abstract: In this paper, we focus on detecting a special type of anomaly in wireless sensor network (WSN), which appears simultaneously in a ...
In this paper, we focus on detecting a special type of anomaly in wireless sensor network (WSN) which appears simultaneously in a collection of neighbouring ...
Abstract—In this paper, we focus on detecting a special type of anomaly in wireless sensor network (WSN) which appears simultaneously in a collection of ...
In this paper, we focus on detecting a special type of anomaly in wireless sensor network (WSN), which appears simultaneously in a collection of neighboring ...
Jan 1, 2017 · In this paper, we focus on detecting a special type of anomaly in wireless sensor network (WSN), which appears simultaneously in a ...
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This page is a summary of: Distributed Segment-Based Anomaly Detection With Kullback–Leibler Divergence in Wireless Sensor Networks , IEEE Transactions on ...
Aug 29, 2023 · In this article, we prove theorems to investigate the Kullback-Leibler divergence in flow-based model and give two explanations for the above ...
Zomaya, ”Distributed Segment-Based Anomaly. Detection With Kullback–Leibler Divergence in Wireless Sensor Networks,” in. IEEE Transactions on Information ...
Distributed Segment-Based Anomaly Detection with Kullback-Leibler Divergence in Wireless Sensor Networks. Author(s): Xie, Miao ; Hu, Jiankun ; Guo, Song · View ...
The scheme uses a Kullback-Leibler divergence-based algorithm that employs segment-based recursive kernel density estimation. It was found to have generally ...