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An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ca9d06d589cb4df28a26554980cc99a8

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

About this item

Full title

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-01, Vol.21 (2), p.446

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices in IoT networks can be problematic due to their resource-constrained nature, and integrating security on these devices is often overlooked. This has resulted in attackers havin...

Alternative Titles

Full title

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ca9d06d589cb4df28a26554980cc99a8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ca9d06d589cb4df28a26554980cc99a8

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21020446

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