INTELLIGENT THREAT DETECTION IN IOT
INTELLIGENT THREAT DETECTION IN IOT

Author(s): Octavian Fratu, Iulia Alexandra GUDOVAN
Subject(s): Politics / Political Sciences, Politics, Military policy
Published by: Carol I National Defence University Publishing House
Keywords: IoT; security; machine learning; cellular IoT; LTE-M; NB-IoT.
Summary/Abstract: Connected devices are now present in agriculture, factories (Industry 4.0), power grids, military, healthcare, transport, education, entertainment and homes. The number of such devices will grow in the near future. Because IoT devices present various vulnerabilities and can be exposed to a great number of threats, the need for IoT security and threat modeling increases. In this paper, we provide an overview of the main threats to IoT devices and networks, and the ways in which machine learning can improve IoT security.

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