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Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning

Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8093308cc3646a9b088b7ce245b14d1

Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning

About this item

Full title

Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6765

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The proliferation of the internet of things (IoT) technology has led to numerous challenges in various life domains, such as healthcare, smart systems, and mission-critical applications. The most critical issue is the security of IoT nodes, networks, and infrastructures. IoT uses the routing protocol for low-power and lossy networks (RPL) for data...

Alternative Titles

Full title

Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c8093308cc3646a9b088b7ce245b14d1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8093308cc3646a9b088b7ce245b14d1

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22186765

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