Naslov
Machine Learning for the Internet of Things Security: A Systematic Review

Autori
Andročec, Darko ; Vrček, Neven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 13th International Conference on Software Technologies / Maciaszek, Leszek ; van Sinderen, Marten - : SCITEPRESS, 2018, 563-570

ISBN
978-989-758-320-9

Skup
13th International Conference on Software Technologies (ICSOFT 2018)

Mjesto i datum
Porto, Portugal, 26.07.2018. - 28.07.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Machine Learning ; Internet of Things ; IoT ; Security ; Systematic Review

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA