Preprocessing and Framework for Unsupervised Anomaly Detection in IoT: Work on Progress

Published: Oct 1, 2018
Abstract
A robust increasing on smart sensors in Internet of Thing (IoT) results huge and heterogenous data and becomes a challenge in data prepocessing and analysis for anomaly detection. The lack of IoT publicly available dataset is one issue in anomaly detection research. To resolve that problem, a testbed topology is proposed in this research. In addition, a high-dimensionality data analysis faces a computational complexity. The purpose of this study...
Paper Details
Title
Preprocessing and Framework for Unsupervised Anomaly Detection in IoT: Work on Progress
Published Date
Oct 1, 2018
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