Machine Learning for the Internet of Things Security: A Systematic Review (CROSBI ID 664593)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Andročec, Darko ; Vrček, Neven
engleski
Machine Learning for the Internet of Things Security: A Systematic Review
Internet of things (IoT) is nowadays one of the fastest growing technologies for both private and business purposes. Due to a big number of IoT devices and their rapid introduction to the market, security of things and their services is often not at the expected level. Recently, machine learning algorithms, techniques, and methods are used in research papers to enhance IoT security. In this paper, we systematically review the state-of-the art to classify the research on machine learning for the IoT security. We analysed the primary studies, identify types of studies and publication fora. Next, we have extracted all machine learning algorithms and techniques described in primary studies, and identified the most used ones to tackle IoT security issues. We classify the research into three main categories (intrusion detection, authentication and other) and describe the primary studies in detail to analyse existing relevant works and propose topics for future research.
Machine Learning ; Internet of Things ; IoT ; Security ; Systematic Review
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Podaci o prilogu
563-570.
2018.
objavljeno
10.5220/0006841205630570
Podaci o matičnoj publikaciji
Proceedings of the 13th International Conference on Software Technologies
Maciaszek, Leszek ; van Sinderen, Marten
SCITEPRESS
978-989-758-320-9
Podaci o skupu
13th International Conference on Software Technologies (ICSOFT 2018)
predavanje
26.07.2018-28.07.2018
Porto, Portugal
Povezanost rada
Informacijske i komunikacijske znanosti