Comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detectio...
Comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detection
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Insider threats pose a significant challenge in cybersecurity, demanding advanced detection methods for effective risk mitigation. This paper presents a comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detection. Specifically, we integrate Convolutional Neural Networks (CNN) with three popular data imbalan...
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Comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detection
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TN_cdi_doaj_primary_oai_doaj_org_article_6ea7f95ec06d49058d21f39c911f60a7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ea7f95ec06d49058d21f39c911f60a7
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-73510-9
