Machine learning based intrusion detection framework for detecting security attacks in internet of t...
Machine learning based intrusion detection framework for detecting security attacks in internet of things
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The Internet of Things (IoT) consist of a network of interconnected nodes constantly communicating, exchanging, and transferring data over various network protocols. Intrusion detection systems using deep learning are a common method used for providing security in IoT. However, traditional deep learning IDS systems do not accurately classify the at...
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Full title
Machine learning based intrusion detection framework for detecting security attacks in internet of things
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TN_cdi_doaj_primary_oai_doaj_org_article_889e441b378d41a7b5914978509ebdfb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_889e441b378d41a7b5914978509ebdfb
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-81535-3
