Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics

The number of connected Internet of Things (IoT) devices within cyber-physical infrastructure systems grows at an increasing rate. This poses significant device management and security challenges to current IoT networks. Among several approaches to cope with these challenges, data-based methods root...

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Autores principales:	Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2021-01-01
Colección:	IEEE Access
Materias:	Anomaly detection cellular IoT industrial IoT machine learning smart logistics
Acceso en línea:	https://ieeexplore.ieee.org/document/9402912/
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