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IoT Anomaly Detection via Deep Learning by Bello Mada is a document available to read on EtoBox.

What is IoT Anomaly Detection via Deep Learning about?

This document is a seminar paper on anomaly detection on IoT networks using deep learning. The paper aims to develop an anomaly detection model that can handle the resource constraints of IoT networks using deep learning. Specifically, the objectives are to use an optimal feature selection algorithm to extract relevant features from the dataset with less computation and then apply an artificial neural network to detect anomalies in IoT networks using the selected features. The paper reviews previous work on

Author

Bello Mada

Language

EN