Intrusion detection in internet of things using supervised machine learning based on application and...
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set
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Cham: Springer International Publishing
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Language
English
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Cham: Springer International Publishing
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Contents
Internet of Things (IoT) devices are well-connected; they generate and consume data which involves transmission of data back and forth among various devices. Ensuring security of the data is a critical challenge as far as IoT is concerned. Since IoT devices are inherently low-power and do not require a lot of compute power, a Network Intrusion Dete...
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Full title
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set
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TN_cdi_doaj_primary_oai_doaj_org_article_722d897e80c24a2fa2c1326d4d176a9b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_722d897e80c24a2fa2c1326d4d176a9b
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ISSN
1687-1499,1687-1472
E-ISSN
1687-1499
DOI
10.1186/s13638-021-01893-8
