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A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ffba6c808314d33a4c1320a4aa27ea1

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

About this item

Full title

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-10, Vol.21 (21), p.7016

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely used publish–subscribe-based protocol for the communication of sensor or event data. The publish–subscribe strategy makes it more attractive for intruders and thus increases t...

Alternative Titles

Full title

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6ffba6c808314d33a4c1320a4aa27ea1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ffba6c808314d33a4c1320a4aa27ea1

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21217016

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