Robust machine learning based Intrusion detection system using simple statistical techniques in feat...
Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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There are serious security issues with the quick growth of IoT devices, which are increasingly essential to Industry 4.0. These gadgets frequently function in challenging environments with little energy and processing power, leaving them open to cyberattacks and making it more difficult to implement intrusion detection systems (IDS) that work. In o...
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Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
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TN_cdi_doaj_primary_oai_doaj_org_article_321973dd907449a292c472fdf768f875
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_321973dd907449a292c472fdf768f875
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-88286-9
